Method and system for managing policies

Abstract

The present disclosure relates to a method and a system for managing policies The method comprises receiving, by a transceiver unit [302] via a Capacity management platform (CMP) module [308], a request for managing one or more policies. Next, the method comprises generating, by a processing unit [304], at the CMP module [308], a dynamic query builder for managing the one or more policies based on the request and one or more policy parameters. Furthermore, the method comprises storing, by a storage unit [306] at the CMP module [308], the generated dynamic query builder in an elastic search database (ES) [310].

Description

METHOD AND SYSTEM FOR MANAGING POLICIESFIELD OF INVENTION

[0001] Embodiments of the present disclosure generally relate to network performance management systems. More particularly, embodiments of the present disclosure relate to methods and systems for managing policies.BACKGROUND

[0002] The following description of the related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section is used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of the prior art.

[0003] The policy management is an important aspect in various fields such as including but not limited to in communication networks etc. as it provides transparency and control over the consumption of various resources during real-time or near-real time service delivery. Policy management is generally carried out according to some defined policy rules for resource consumption. A policy or policy rules may be defined based on user inputs or queries of the network systems.

[0004] Over the period various solutions have been developed to tackle the requests such as user requests or system requests of policy management to deploy adept policy management and enforcement. Furthermore, the primitive systems lacked capabilities of seamless management of these queries.

[0005] Thus, there exists an imperative need in the art to tackle policy management requests that allows seamless handling of system and / or user queries at the time of policy creation / modification / deletion events for various system constraints such as CPU / RAM / Storage, which the present disclosure aims to address.OBJECTS OF THE DISCLOSURE

[0006] Some of the objects of the present disclosure, which at least one embodiment disclosed herein satisfies are listed herein below.

[0007] It is an object of the present disclosure to provide a system and a method for managing policies.

[0008] It is another object of the present disclosure to provide a solution that tackles user interface requests of policy management by disclosing a Capacity Manager (referred herein as CMP) at an application level (alternatively referred to herein as capacity management platform (CMP), capacity management manager (CMM) and CP microservice).

[0009] It is another object of the present disclosure to provide a solution to provide seamless handling of policy management queries based on user input at the time of policy creation / modification / deletion events considering system constraint such as CPU / RAM / Storage etc.

[0010] It is another object of the present disclosure to provide a time-efficient dynamic query builder established according to system constraints at an initial design phase of the system.

[0011] It is another object of the present disclosure to provide a time-efficient dynamic query builder that needs minimal intervention for modifications in subsequent design stages.

[0012] It is another object of the present disclosure to provide a dynamic query builder that guarantees smooth scalability (both upscaling and downscaling) upon instantiation.

[0013] It is yet another object of the present disclosure to provide a dynamic query builder that effectively prevents resource overload.SUMMARY

[0014] This section is provided to introduce certain aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.

[0015] An aspect of the present disclosure may relate to a method for managing policies. The method comprises receiving, by a transceiver unit via a Capacity management platform (CMP)module, a request for managing one or more policies. Next, the method comprises generating, by a processing unit, at the CMP module, a dynamic query builder for managing the one or more policies based on the request and one or more policy parameters. Furthermore, the method comprises storing, by a storage unit at the CMP module, the generated dynamic query builder in an elastic search database (ES).

[0016] In an exemplary aspect of the present disclosure, the request comprise at least the one or more policy parameters related to managing the one or more policies.

[0017] In an exemplary aspect of the present disclosure, managing the one or more policies comprises at least one of updating, creating, and deleting one or more policies.

[0018] In an exemplary aspect of the present disclosure, the one or more policy parameters comprise at least one of a policy name, a CPU usage information, a RAM usage information, a storage requirement information and a hysteresis information.

[0019] In an exemplary aspect of the present disclosure, the dynamic query builder is configured to perform one or more operations on resources of a wireless communication network, wherein the one or more operations is one of at least an auto-scaling operation, an auditing operation and a load balancing operation.

[0020] In an exemplary aspect of the present disclosure, the dynamic query builder is configured to generate one or more queries associated with the resources for performing the one or more operations.

[0021] In an exemplary aspect of the present disclosure, the resources of the wireless communication network are associated with one or more virtualized network components, wherein the one virtualized network components is one of at least a virtual network function (VNF), a container network function (CNF), a container network function components (CNFCs), and a virtual network function components (VNFCs).

[0022] In an exemplary aspect of the present disclosure, the interface is CP UI interface.

[0023] In an exemplary aspect of the present disclosure, the interface is at least one of a graphical user interface (GUI), and a command line interface (CLI).

[0024] Another aspect of the present disclosure may relate to a system for managing policies.The system comprises a transceiver unit configured to receive, via a Capacity management platform (CMP) module, a request for managing one or more policies. Further, the system comprises a processing unit configured to generate, at the CMP module, a dynamic query builder for managing the one or more policies based on the request and one or more policy parameters. Further, the system comprises a storage unit configured to store, at the CMP module, the generated dynamic query builder in an elastic search database (ES).

[0025] Yet another aspect of the present disclosure may relate to a non-transitory computer readable storage medium storing instructions for managing policies, the instructions include executable code which, when executed by one or more units of a system, causes: a transceiver unit of the system to receive, via a Capacity management platform (CMP) module, a request for managing one or more policies. The executable code which, when executed by one or more units of a system, causes a processing unit of the system to generate, at the CMP module, a dynamic query builder for managing the one or more policies based on the request and one or more policy parameters. The executable code which, when executed by one or more units of a system, causes a storage unit of the system to store, at the CMP module, the generated dynamic query builder in an elastic search database (ES).

[0026] Yet another aspect of the present disclosure may relate to a user equipment (UE) for managing policies. The UE comprises a system and a user interface. Further, the user interface is configured to receive a request for managing one or more policies. Next, the user interface is configured to receive, a dynamic query builder for managing the one or more policies based on the request and one or more policy parameters. Next, the user interface is configured to transmit an input associated with the dynamic query builder, wherein the input is at least one of updating, creating, and deleting one or more policies for managing the one or more policies. Next, the user interface is configured to receive, an output based on the input, wherein the output is generated based on performing one or more operations on resources of a wireless communication network.DESCRIPTION OF THE DRAWINGS

[0027] The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components inthe drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Also, the embodiments shown in the figures are not to be construed as limiting the disclosure, but the possible variants of the method and system according to the disclosure are illustrated herein to highlight the advantages of the disclosure. It will be appreciated by those skilled in the art that disclosure of such drawings includes disclosure of electrical components or circuitry commonly used to implement such components.

[0028] FIG. 1 illustrates an exemplary block diagram of a management and orchestration (MANO) architecture.

[0029] FIG. 2 illustrates an exemplary block diagram of a computing device upon which the features of the present disclosure may be implemented in accordance with exemplary implementation of the present disclosure.

[0030] FIG. 3 illustrates an exemplary block diagram of a system for managing policies, in accordance with exemplary implementations of the present disclosure.

[0031] FIG. 4 illustrates an exemplary method flow diagram for managing policies in accordance with exemplary implementations of the present disclosure.

[0032] FIG. 5 illustrates another exemplary block diagram of a system for managing policies, in accordance with exemplary implementations of the present disclosure.

[0033] FIG. 6 illustrates an exemplary process flow for managing policies in accordance with exemplary implementations of the present disclosure.

[0034] The foregoing shall be more apparent from the following more detailed description of the disclosure.DETAILED DESCRIPTION

[0035] In the following description, for the purposes of explanation, various specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent, however, that embodiments of the present disclosure may be practiced without these specific details. Several features described hereafter may each be usedindependently of one another or with any combination of other features. An individual feature may not address any of the problems discussed above or might address only some of the problems discussed above.

[0036] The ensuing description provides exemplary embodiments only, and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the disclosure as set forth.

[0037] Specific details are given in the following description to provide a thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, circuits, systems, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail.

[0038] Also, it is noted that individual embodiments may be described as a process which is depicted as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations may be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed but could have additional steps not included in a figure.

[0039] The word “exemplary” and / or “demonstrative” is used herein to mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as “exemplary” and / or “demonstrative” is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known to those of ordinary skill in the art. Furthermore, to the extent that the terms “includes,” “has,” “contains,” and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive — in a manner similar to the term “comprising” as an open transition word — without precluding any additional or other elements.

[0040] As used herein, a “processing unit” or “processor” or “operating processor” includes one or more processors, wherein processor refers to any logic circuitry for processing instructions. A processor may be a general-purpose processor, a special purpose processor, a conventional processor, a digital signal processor, a plurality of microprocessors, one or more microprocessors in association with a Digital Signal Processing (DSP) core, a controller, a microcontroller, Application Specific Integrated Circuits, Field Programmable Gate Array circuits, any other type of integrated circuits, etc. The processor may perform signal coding data processing, input / output processing, and / or any other functionality that enables the working of the system according to the present disclosure. More specifically, the processor or processing unit is a hardware processor.

[0041] As used herein, “a user equipment”, “a user device”, “a smart-user-device”, “a smartdevice”, “an electronic device”, “a mobile device”, “a handheld device”, “a wireless communication device”, “a mobile communication device”, “a communication device” may be any electrical, electronic and / or computing device or equipment, capable of implementing the features of the present disclosure. The user equipment / device may include, but is not limited to, a mobile phone, smart phone, laptop, a general-purpose computer, desktop, personal digital assistant, tablet computer, wearable device or any other computing device which is capable of implementing the features of the present disclosure. Also, the user device may contain at least one input means configured to receive an input from unit(s) which are required to implement the features of the present disclosure.

[0042] As used herein, “storage unit” or “memory unit” refers to a machine or computer- readable medium including any mechanism for storing information in a form readable by a computer or similar machine. For example, a computer-readable medium includes read-only memory (“ROM”), random access memory (“RAM”), magnetic disk storage media, optical storage media, flash memory devices or other types of machine-accessible storage media. The storage unit stores at least the data that may be required by one or more units of the system to perform their respective functions.

[0043] As used herein “interface” or “user interface refers to a shared boundary across which two or more separate components of a system exchange information or data. The interface may also be referred to a set of rules or protocols that define communication or interaction of one or more modules or one or more units with each other, which also includes the methods, functions, or procedures that may be called.

[0044] All modules, units, components used herein, unless explicitly excluded herein, may be software modules or hardware processors, the processors being a general-purpose processor, a special purpose processor, a conventional processor, a digital signal processor (DSP), a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller, Application Specific Integrated Circuits (ASIC), Field Programmable Gate Array circuits (FPGA), any other type of integrated circuits, etc.

[0045] As used herein the transceiver unit include at least one receiver and at least one transmitter configured respectively for receiving and transmitting data, signals, information or a combination thereof between units / components within the system and / or connected with the system.

[0046] As discussed in the background section, the current known solutions have several shortcomings. The present disclosure aims to overcome the above-mentioned and other existing problems in this field of technology by providing method and system of managing policies. The present disclosure relates to a system and method for policy management via a user interface. Based on the implementation of the features of the present disclosure the CMP validates design policies that are sourced from the user interface, ensuring adherence to essential system constraints for e.g., hysteresis. Once validated, it generates a dynamic query builder based on the design constraints, saving it in the database for future use.

[0047] Particularly, the present disclosure aims to overcome the above-mentioned and other existing problems in this field of technology by tackling the user interface requests with the help of dynamic query builder. This dynamic query builder is based on the system design constraints, which are saved in the database for future use. This dynamic and adaptable query builder is modifiable based on user requirements, thereby facilitating seamless autoscaling of resources, leading to fluid transitions.

[0048] FIG. 1 illustrates an exemplary block diagram representation of a management and orchestration (MANO) architecture / platform

[0100] , in accordance with exemplary implementation of the present disclosure. The MANO platform

[0100] may be developed for managing telecom cloud infrastructure automatically, managing design or deployment design, managing instantiation of network node(s) / service(s) etc. The MANO platform

[0100] deploys the network node(s) in the form of Virtual Network Function (VNF) and Cloud-native / Container Network Function (CNF). The system as provided by the present disclosure may comprise one ormore components of the MANO platform

[0100] , The MANO platform

[0100] may be used to autoinstantiate the VNFs into the corresponding environment of the present disclosure so that it could help in onboarding other vendor(s) CNFs and VNFs to the platform.

[0049] As shown in FIG. 1, the MANO platform

[0100] comprises a user interface layer

[0102] , a network function virtualization (NFV) and software defined network (SDN) design function module

[0104] , a platform foundation services module

[0106] , platforms core services module

[0108] and a platform resource adapters and utilities module

[0112] , All the components are assumed to be connected to each other in a manner as obvious to the person skilled in the art for implementing features of the present disclosure.

[0050] The NFV and SDN design function module

[0104] comprises a VNF lifecycle manager (compute)

[1042] , a VNF catalogue

[1044] , a network services catalogue

[1046] , a network slicing and service chaining manager

[1048] , a physical and virtual resource manager

[1050] and a CNF lifecycle manager

[1052] , The VNF lifecycle manager (compute)

[1042] may be responsible for deciding on which server of the communication network the microservice will be instantiated. The VNF lifecycle manager (compute)

[1042] may manage the overall flow of incoming / outgoing requests during interaction with the user. The VNF lifecycle manager (compute)

[1042] may be responsible for determining which sequence to be followed for executing the process. For e.g. in an AMF network function of the communication network (such as a 5G network), sequence for execution of processes Pl and P2 etc. The VNF catalogue

[1044] stores the metadata of all the VNFs (also CNFs in some cases). The network services catalogue

[1046] stores the information of the services that need to be run. The network slicing and service chaining manager

[1048] manages the slicing (an ordered and connected sequence of network service / network functions (NFs)) that must be applied to a specific networked data packet. The physical and virtual resource manager

[1050] stores the logical and physical inventory of the VNFs. Just like the VNF lifecycle manager (compute)

[1042] , the CNF lifecycle manager

[1052] may be used for the CNFs lifecycle management.

[0051] The platforms foundation services module

[0106] comprises a microservices edge load balancer

[1062] , an identity & access manager

[1064] , a command line interface (CLI)

[1066] , a central logging manager

[1068] , and an event routing manager (ERM) module

[1070] , The microservices edge load balancer

[1062] may be used for maintaining the load balancing of the request for the services. The identity & access manager

[1064] may be used for logging purposes. The command line interface (CLI)

[1066] may be used to provide commands to execute certainprocesses which require changes during the run time. The central logging manager

[1068] may be responsible for keeping the logs of every service. These logs are generated by the MANO platform

[0100] , These logs are used for debugging purposes. The event routing manager (ERM) module

[1070] may be responsible for routing the events i.e., the application programming interface (API) hits to the corresponding services. The ERM module

[1070] manages the routing of requests between microservices in an event-driven system. When one service (such as publisher) triggers an event, the request is directed by the ERM module

[1070] to the target microservice (such as subscriber). The ERM module

[1070] enables asynchronous communication, supports fault tolerance such that the tasks are rerouted if a service fails, thus maintaining system reliability and efficiency.

[0052] The platforms core services module

[0108] comprises NFV infrastructure monitoring manager

[1082] , an assure manager

[1084] , a performance manager

[1086] , a policy execution engine

[1088] , a capacity monitoring manager (CMM)

[1090] , a release management (mgmt.) repository

[1092] , a configuration manager & GCT

[1094] , an NFV platform decision analytics (NPDA)

[1096] , a platform NoSQL DB

[1098] ; a platform schedulers and cron jobs

[1100] , a VNF backup & upgrade manager

[1102] , a microservice auditor

[1104] , and a platform operations, administration and maintenance (0AM) module

[1106] , The NFV infrastructure monitoring manager

[1082] monitors the infrastructure part of the NFs. For e.g., any metrics such as CPU utilization by the VNF. The assure manager

[1084] may be responsible for supervising the alarms the vendor may be generating. The performance manager

[1086] may be responsible for managing the performance counters. The policy execution engine (PEEGN)

[1088] may be responsible for managing all of the policies. The capacity monitoring manager (CMM)

[1090] (alternatively referred to herein as capacity management platform (CMP)

[1090] or CP microservice) may be responsible for sending the request to the PEEGN

[1088] , The release management (mgmt.) repository (RMR)

[1092] may be responsible for managing the releases and the images of all of the vendor's network nodes. The configuration manager & (GCT)

[1094] manages the configuration and GCT of all the vendors. The NFV platform decision analytics (NPDA)

[1096] helps in deciding the priority of using the network resources. It may be further noted that the policy execution engine (PEEGN)

[1088] , the configuration manager & GCT

[1094] and the NPDA

[1096] work together. The platform NoSQL DB

[1098] may be a database for storing all the inventory (both physical and logical) as well as the metadata of the VNFs and CNF. The platform schedulers and cron jobs

[1100] schedules and manages the tasks across various microservices. The PSC

[1100] facilitates in automating execution of jobs often based on time interval or basedon a triggering event. The PSC

[1100] facilitates in dispatching the requests to appropriate microservices, enabling efficient task scheduling and execution.

[0053] The VNF backup & upgrade manager

[1102] takes backup of the images, binaries of the VNFs and the CNFs and produces those backup on demand in case of server failure. The microservice auditor

[1104] audits the microservices. For e.g., in a hypothetical case, instances not being instantiated by the MANO platform

[0100] may be using the network resources. In such cases, the microservice auditor

[1104] audits and informs the same so that resources can be released for services running in the MANO platform

[0100] , The audit assures that the services only run on the MANO platform

[0100] , The platform operations, administration and maintenance (0AM) module

[1106] may be used for newer instances that are spawning. The 0AM module

[1106] refers to a centralised system that manages the scheduling, execution and monitoring of tasks across various microservices. The 0AM module

[1106] facilitates efficient task distribution, automates scheduling jobs, and handles administration by tracking task execution and system performance. Additionally, the 0AM module

[1106] supports maintenance by rerouting tasks in case of failures, enhancing the overall resilience and reliability of the system.

[0054] The platform resource adapters and utilities module

[0112] further comprises a platform external API adaptor and gateway

[1122] ; a generic decoder and indexer (XML, CSV, JSON)

[1124] ; a docker service adaptor

[1126] ; an OpenStack API adapter

[1128] ; and a NFV gateway

[1130] , The Docker Service Adapter (DSA) is a microservices-based system designed to deploy and manage Container Network Functions (CNFs) and their components (CNFCs) across Docker nodes. It offers REST endpoints for key operations, including uploading container images to a Docker registry, terminating CNFC instances, and creating Docker volumes and networks. CNFs, which are network functions packaged as containers, may consist of multiple CNFCs. The DSA facilitates the deployment, configuration, and management of these components by interacting with Docker's API, ensuring proper setup and scalability within a containerized environment. This approach provides a modular and flexible framework for handling network functions in a virtualized network setup.

[0055] The platform external API adapter and gateway

[1122] may be responsible for handling the external services (to the MANO platform

[0100] ) that require the network resources. The generic decoder and indexer (XML, CSV, JSON)

[1124] gets directly the data of the vendor system in the XML, CSV, JSON format. The docker service adaptor

[1126] may be the interface provided between the telecom cloud and the MANO platform

[0100] for communication. TheOpenStack API adapter

[1128] may be used to connect with the virtual machines (VMs). The NFV gateway

[1130] may be responsible for providing the path to each service going to / incoming from the MANO platform

[0100] ,

[0056] FIG. 2 illustrates an exemplary block diagram of a computing device

[0200] (herein, also referred to as a computer system

[0200] ) upon which one or more features of the present disclosure may be implemented in accordance with an exemplary implementation of the present disclosure. In an implementation, the computing device

[0200] may also implement a method for managing policies, utilising a system, or one or more sub-systems, provided in the network. In another implementation, the computing device

[0200] itself implements the method for managing policies, using one or more units configured within the computing device

[0200] , wherein said one or more units are capable of implementing the features as disclosed in the present disclosure.

[0057] The computing device

[0200] may include a bus

[0202] or other communication mechanism(s) for communicating information, and a hardware processor

[0204] coupled with bus

[0202] for processing said information. The hardware processor

[0204] may be, for example, a general-purpose microprocessor. The computing device

[0200] may also include a main memory

[0206] , such as a random-access memory (RAM), or other dynamic storage device, coupled to the bus

[0202] , for storing information and instructions to be executed by the processor

[0204] , The main memory

[0206] also may be used for storing temporary variables or other intermediate information during execution of the instructions to be executed by the processor

[0204] , Such instructions, when stored in a non-transitory storage media accessible to the processor

[0204] , render the computing device

[0200] into a special purpose device that is customized to perform operations according to the instructions. The computing device

[0200] further includes a read only memory (ROM)

[0208] or other static storage device coupled to the bus

[0202] for storing static information and instructions for the processor

[0204] ,

[0058] A storage device

[0210] , such as a magnetic disk, optical disk, or solid-state drive is provided and coupled to the bus

[0202] for storing information and instructions. The computing device

[0200] may be coupled via the bus

[0202] to a display

[0212] , such as a cathode ray tube (CRT), Liquid crystal Display (LCD), Light Emitting Diode (LED) display, Organic LED (OLED) display, etc., for displaying information to a user of the computing device

[0200] , An input device

[0214] , including alphanumeric and other keys, touch screen input means, etc. may be coupled to the bus

[0202] for communicating information and command selections to the processor

[0204] , Another type of user input device may be a cursor controller

[0216] , such as a mouse, a trackball,or cursor direction keys, for communicating direction information and command selections to the processor

[0204] , and for controlling cursor movement on the display

[0212] , The cursor controller

[0216] typically has two degrees of freedom in two axes, a first axis (e.g., x) and a second axis (e.g., y), that allows the cursor controller

[0216] to specify positions in a plane.

[0059] The computing device

[0200] may implement the techniques described herein using customized hard-wired logic, one or more ASICs or FPGAs, firmware and / or program logic which, in combination with the computing device

[0200] , causes or programs the computing device

[0200] to be a special-purpose device. According to one implementation, the techniques herein are performed by the computing device

[0200] in response to the processor

[0204] executing one or more sequences of one or more instructions contained in the main memory

[0206] , The one or more instructions may be read into the main memory

[0206] from another storage medium, such as the storage device

[0210] , Execution of the one or more sequences of the one or more instructions contained in the main memory

[0206] causes the processor

[0204] to perform the process steps described herein. In alternative implementations of the present disclosure, hard-wired circuitry may be used in place of, or in combination with, software instructions.

[0060] The computing device

[0200] also may include a communication interface

[0218] coupled to the bus

[0202] , The communication interface

[0218] provides two-way data communication coupling to a network link

[0220] that is connected to a local network

[0222] , For example, the communication interface

[0218] may be an integrated services digital network (ISDN) card, cable modem, satellite modem, or a modem to provide a data communication connection to a corresponding type of telecommunication line. In another example, the communication interface

[0218] may be a local area network (LAN) card to provide a data communication connection to a compatible LAN. Wireless links may also be implemented. In any such implementation, the communication interface

[0218] sends and receives electrical, electromagnetic or optical signals that carry digital data streams representing different types of information.

[0061] The computing device

[0200] can send and receive data, including program code, messages, etc. through the network(s), the network link

[0220] and the communication interface

[0218] , In an example, a server

[0230] might transmit a requested code for an application program through the Internet

[0228] , the ISP

[0226] , the local network

[0222] , a host

[0224] and the communication interface

[0218] , The received code may be executed by the processor

[0204] as it is received, and / or stored in the storage device

[0210] , or other non-volatile storage for later execution.

[0062] Referring to FIG. 3, an exemplary block diagram of a system

[0300] for managing policies, is shown, in accordance with the exemplary implementations of the present disclosure. The system

[0300] comprises at least one transceiver unit

[0302] , at least one processing unit

[0304] , and at least one storage unit

[0306] , Also, all of the components / units of the system

[0300] are assumed to be connected to each other unless otherwise indicated below. As shown in the figures all units shown within the system

[0300] should also be assumed to be connected to each other. Also, in FIG. 3 only a few units are shown, however, the system

[0300] may comprise multiple such units or the system

[0300] may comprise any such numbers of said units, as required to implement the features of the present disclosure. Further, in an implementation, the system

[0300] may be present in a user device / user equipment to implement the features of the present disclosure. The system

[0300] may be a part of the user device

[0102] / or may be independent of but in communication with the user device

[0102] (may also referred herein as a UE). In another implementation, the system

[0300] may reside in a server or a network entity. In yet another implementation, the system

[0300] may reside partly in the server / network entity and partly in the user device.

[0063] The system

[0300] is configured for managing policies, with the help of the interconnection between the components / units of the system

[0300] ,

[0064] Further, in accordance with the present disclosure, it is to be acknowledged that the functionality described for the various the components / units can be implemented interchangeably. While specific embodiments may disclose a particular functionality of these units for clarity, it is recognized that various configurations and combinations thereof are within the scope of the disclosure. The functionality of specific units as disclosed in the disclosure should not be construed as limiting the scope of the present disclosure. Consequently, alternative arrangements and substitutions of units, provided they achieve the intended functionality described herein, are considered to be encompassed within the scope of the present disclosure.

[0065] The system

[0300] further comprises the transceiver unit

[0302] configured to receive, via a capacity management platform (CMP) module

[0308] , a request for managing one or more policies through an interface. Herein, the CMP module

[0308] is responsible for monitoring and managing the one or more policies associated with one or more network entities (such as the UE) within the communication network. Furthermore, the one or more policies may further indicate that how one or more network resources are allocated or managed within the communication network in such a manner to improve an overall efficiency and performance of said communicationnetwork. In an exemplary aspect of the present disclosure, the interface is CP UI interface. In an exemplary aspect of the present disclosure, the interface is at least one of a graphical user interface (GUI), and a command line interface (CLI).

[0066] As used herein, the managing the one or more policies comprises at least one of updating, creating, and deleting one or more policies.

[0067] In one aspect, updating one or more policies may refer to modifying an existing policy to reflect changes in one or more resource allocations. In another aspect, creating one or more policies may include adding one or more rules or policy associated with said one or more resources allocation. In yet another aspect, deleting one or more policies may refer to delete an outdated or one or more unnecessary policies (that are no longer applicable for said one or more allocations).

[0068] Further, the request mentioned herein comprise at least the one or more policy parameters related to managing the one or more policies. Moreover, the one or more policy parameters comprise at least one of a policy name, a CPU usage information, a RAM usage information, a storage requirement information and a hysteresis information.

[0069] In an example, the policy name may refer to a unique identifier associated with each policy of the one or more policies. For instance, a policy (suppose policy X) with a policy name such as ‘high traffic policy’ may refer to the policy utilized for handling network loads during peak hours.

[0070] In another example, the CPU usage information may refer to an amount of CPU resources that is being currently used or is required within the communication network for one or more conditions. For instance, a policy (suppose policy X) may allocate 60% of CPU resources to a virtual network function (VNF), in a condition where a network load has increased a certain threshold.

[0071] In yet another example, the RAM usage information may refer to an amount of memory allocated for one or more services within the communication network.

[0072] In yet another example, the storage requirement information may refer to details that the amount of memory required by the one or more network entities for performing one or more services.

[0073] In yet another example, the hysteresis information may define a buffer or threshold that may prevent frequent changes in allocation of the one or more network resources. For instance, a policy (suppose policy X) may specify that CPU resources are to be adjusted only if the CPU usage exceeds 80% for a sustained period of time, which may further prevent any unnecessary network resource reallocation during minor fluctuations within the CPU usage.

[0074] The system

[0300] further comprises the processing unit

[0304] configured to generate, at the CMP module

[0308] , a dynamic query builder for managing the one or more policies based on the request and one or more policy parameters. Herein, the dynamic query builder is configured to generate one or more queries associated with the resources for performing the one or more operations. The dynamic query builder may generate the one or more queries in a dynamic manner. For example, the one or more queries are generated in an event, whenever there is event task associated with the one or more policies is triggered via a platform scheduler and cron jobs (PSC). Herein, the event task is associated with the request mentioned above for managing one or more policies which may be further utilized in an event of scaling in or out of the one or more resources.

[0075] It is to be noted that the dynamic nature of the query builder may allow the processing unit

[0304] to adapt with one or more changing demands at the communication network. The dynamic query builder generates the one or more queries dynamically that are based on the received request and the one or more parameters mentioned within the received request. For instance, in an event, a VNF performing a specific service (suppose service Y) may further require more RAM due to a sudden increase in network load or said specific service is being performed during peak hours, then in such event, the dynamic query builder may generate a query to increase the RAM from 20 giga bytes (GB) to 30 GB.

[0076] In another event, similar to the previous event, the VNF is performing a service (suppose service Z) during low throughput hours, which may not require the pre-allocated RAM (such as 1 tera byte), then in such event, the dynamic query builder may generate a query to reduce the allocated storage from 1 TB to 500 GB.

[0077] Further, the dynamic query builder is configured to perform one or more operations on resources of a wireless communication network. Further, the one or more operations is one of at least an auto-scaling operation, an auditing operation and a load balancing operation. Herein,the one or more operations on the resources of the wireless communication network is performed to improve an overall efficiency and performance of said communication network.

[0078] Further, the one or more resources of the wireless communication network are associated with one or more virtualized network components. Herein, the one virtualized network components is one of at least a virtual network function (VNF), a container network function (CNF), a container network function components (CNFCs), and a virtual network function components (VNFCs).

[0079] The VNF may refer to a virtual router for handling network traffic within the communication network. In an event, the one or more resources are associated with the VNF, then the dynamic query builder may adjust the CPU or memory allocated to said VNF based on realtime data traffic needs within said communication network. Further, the VNFC are subfunctions that are combined in order to create a larger VNF.

[0080] The CNF herein may run within one or more containers to perform the one or more services. Similar to the VNFC, the CNFC are subfunctions that are combined in order to create a larger CNF.

[0081] In one example, the one or more operations is the auto-scaling operation, which may refer to an automatic adjustment of the one or more network resources in response to real-time demand of said one or more network resources. The auto-scaling operation may further ensure, that the one or more network resources are allocated dynamically based on said real-time demand in order to prevent any underutilization or overloading of said one or more network resources.

[0082] For ease of understanding, the aforementioned para is explained with the help of an exemplary scenario, in an event, during peak hour where there is a dire need for additional resources for performing the one or more services, in such event, the dynamic query builder may trigger the one or more queries to allocate additional CPU or RAM to VNFs or CNFs. For instance, the query may request an increase in CPU resources from 40% to 60% to handle the higher traffic demands during the peak hour. Similarly, during low throughput time period, the dynamic query builder may generate a query to reduce the allocation of the one or more resources in view of increasing an overall efficiency of the communication network.

[0083] In another example, the one or more operations is the auditing operation, which may involve monitoring the usage of the one or more network resources in order to detect any anomalies or irregularities within the one or more predefined policies.

[0084] For ease of understanding, the aforementioned para is explained with the help of an exemplary scenario, in an event, the dynamic query builder may generate one or more queries to audit the usage of RAM and storage resources within some specific VNFs or CNFs. Herein, the one or more queries may retrieve data that may display a current CPU usage or a current memory usage. The retrieved data herein is further to be utilized to detect overuse / underuse of the one or more network resource and may further identify any requirements of optimizing the one or more policies within the communication network.

[0085] In yet another example, the one or more operations is the load balancing operation, that may refer to process of distributing the network traffic evenly across a plurality of network components to avoid overloading of the network traffic at a specific network component.

[0086] For ease of understanding, the aforementioned para is explained with the help of an exemplary scenario, in an event, a specific VNF is handling too much network traffic, then in such event, the dynamic query builder may generate one or more queries to shift some of the network traffic to other available VNFs or CNFs associated with said specific VNF, in order to avoid bottlenecks over a specific VNF and ensure smooth performance of all the network components within the communication network.

[0087] The system

[0300] further comprises the storage unit

[0306] configured to store, at the CMP module

[0308] , the generated dynamic query builder in an elastic search database (ES)

[0310] , Herein, the ES

[0310] is responsible for efficiently storing, searching, and managing large volumes of data associated with the one or more network components in real-time.

[0088] In an implementation of the present disclosure, the storage unit

[0306] may store the one or more dynamically generated queries, created by the dynamic query builder at the CMP module

[0308] , at the ES

[0310] , The storage unit

[0306] stores the one or more generated queries that are further utilized for future reference, tracking of generated queries associated with a specific policy from the one or more policies, or auditing of the one or more policies.

[0089] Referring to FIG. 4, an exemplary method flow diagram

[0400] for managing policies, in accordance with exemplary implementations of the present disclosure is shown. In an implementation the method

[0400] is performed by the system

[0300] , Further, in an implementation, the system

[0300] may be present in a server device to implement the features of the present disclosure.

[0090] Also, as shown in FIG. 4, the method

[0400] initially starts at step

[0402] ,

[0091] At step

[0404] , the method

[0400] comprises receiving, by the transceiver unit

[0302] via the Capacity management platform (CMP) module

[0308] , the request for managing one or more policies. Further, managing the one or more policies comprises at least one of updating, creating, and deleting one or more policies through an interface. In an exemplary aspect of the present disclosure, the interface is CP UI interface. In an exemplary aspect of the present disclosure, the interface is at least one of a graphical user interface (GUI), and a command line interface (CLI).

[0092] The method

[0400] further explains that the request comprises at least the one or more policy parameters related to managing the one or more policies. Further, the one or more policy parameters comprise at least one of a policy name, a CPU usage information, a RAM usage information, a storage requirement information and a hysteresis information.

[0093] As used herein, the managing the one or more policies comprises at least one of updating, creating, and deleting one or more policies.

[0094] In one aspect, updating one or more policies may refer to modifying an existing policy to reflect changes in one or more resource allocations. In another aspect, creating one or more policies may include adding one or more rules or policy associated with said one or more resources allocation. In yet another aspect, deleting one or more policies may refer to delete an outdated or one or more unnecessary policies (that are no longer applicable for said one or more allocations).

[0095] In an example, the policy name may refer to a unique identifier associated with each policy of the one or more policies. For instance, a policy (suppose policy X) with a policy name such as ‘high traffic policy’ may refer to the policy utilized for handling network loads during peak hours.

[0096] In another example, the CPU usage information may refer to an amount of CPU resources that is being currently used or is required within the communication network for one or more conditions. For instance, a policy (suppose policy X) may allocate 60% of CPU resources to a virtual network function (VNF), in a condition where a network load has increased a certain threshold.

[0097] In yet another example, the RAM usage information may refer to an amount of memory allocated for one or more services within the communication network.

[0098] In yet another example, the storage requirement information may refer to details that the amount of memory required by the one or more network entities for performing one or more services.

[0099] In yet another example, the hysteresis information may define a buffer or threshold that may prevent frequent changes in allocation of the one or more network resources. For instance, a policy (suppose policy X) may specify that CPU resources are to be adjusted only if the CPU usage exceeds 80% for a sustained period of time, which may further prevent any unnecessary network resource reallocation during minor fluctuations within the CPU usage.

[0100] At step

[0406] , the method

[0400] comprises generating, by the processing unit

[0304] , at the CMP module

[0308] , the dynamic query builder for managing the one or more policies based on the request and one or more policy parameters. Herein, the dynamic query builder is configured to generate one or more queries associated with the resources for performing the one or more operations.

[0101] The method

[0400] further explains that the dynamic query builder is configured to perform one or more operations on resources of a wireless communication network. Herein, the one or more operations is one of at least an auto-scaling operation, an auditing operation and a load balancing operation.

[0102] The method

[0400] further explains that the resources of the wireless communication network are associated with one or more virtualized network components. Further, the one virtualized network components is one of at least a virtual network function (VNF), a container network function (CNF), a container network function components (CNFCs), and a virtual network function components (VNFCs).

[0103] The dynamic query builder may generate the one or more queries in a dynamic manner. For example, the one or more queries are generated in an event, whenever there is event task associated with the one or more policies is triggered via a platform scheduler and cron jobs (PSC). Herein, the event task is associated with the request mentioned above for managing one or more policies which may be further utilized in an event of scaling in or out of the one or more resources.

[0104] It is to be noted that the dynamic nature of the query builder may allow the processing unit

[0304] to adapt with one or more changing demands at the communication network. The dynamic query builder generates the one or more queries dynamically that are based on the received request and the one or more parameters mentioned within the received request. For instance, in an event, a VNF performing a specific service (suppose service Y) may further require more RAM due to a sudden increase in network load or said specific service is being performed during peak hours, then in such event, the dynamic query builder may generate a query to increase the RAM from 20 giga bytes (GB) to 30 GB.

[0105] In another event, similar to the previous event, the VNF is performing a service (suppose service Z) during low throughput hours, which may not require the pre-allocated RAM (such as 1 tera byte), then in such event, the dynamic query builder may generate a query to reduce the allocated storage from 1 TB to 500 GB.

[0106] Further, the dynamic query builder is configured to perform one or more operations on resources of a wireless communication network. Further, the one or more operations is one of at least an auto-scaling operation, an auditing operation and a load balancing operation. Herein, the one or more operations on the resources of the wireless communication network is performed to improve an overall efficiency and performance of said communication network.

[0107] The VNF may refer to a virtual router for handling network traffic within the communication network. In an event, the one or more resources are associated with the VNF, then the dynamic query builder may adjust the CPU or memory allocated to said VNF based on realtime data traffic needs within said communication network. Further, the VNFC are subfunctions that are combined in order to create a larger VNF.

[0108] The CNF herein may run within one or more containers to perform the one or more services. Similar to the VNFC, the CNFC are subfunctions that are combined in order to create a larger CNF.

[0109] In one example, the one or more operations is the auto-scaling operation, which may refer to an automatic adjustment of the one or more network resources in response to real-time demand of said one or more network resources. The auto-scaling operation may further ensure, that the one or more network resources are allocated dynamically based on said real-time demand in order to prevent any underutilization or overloading of said one or more network resources.

[0110] For ease of understanding, the aforementioned para is explained with the help of an exemplary scenario, in an event, during peak hour where there is a dire need for additional resources for performing the one or more services, in such event, the dynamic query builder may trigger the one or more queries to allocate additional CPU or RAM to VNFs or CNFs. For instance, the query may request an increase in CPU resources from 40% to 60% to handle the higher traffic demands during the peak hour. Similarly, during low throughput time period, the dynamic query builder may generate a query to reduce the allocation of the one or more resources in view of increasing an overall efficiency of the communication network.[OHl] In another example, the one or more operations is the auditing operation, which may involve monitoring the usage of the one or more network resources in order to detect any anomalies or irregularities within the one or more predefined policies.

[0112] For ease of understanding, the aforementioned para is explained with the help of an exemplary scenario, in an event, the dynamic query builder may generate one or more queries to audit the usage of RAM and storage resources within some specific VNFs or CNFs. Herein, the one or more queries may retrieve data that may display a current CPU usage or a current memory usage. The retrieved data herein is further to be utilized to detect overuse / underuse of the one or more network resource and may further identify any requirements of optimizing the one or more policies within the communication network.

[0113] In yet another example, the one or more operations is the load balancing operation, that may refer to process of distributing the network traffic evenly across a plurality of network components to avoid overloading of the network traffic at a specific network component.

[0114] For ease of understanding, the aforementioned para is explained with the help of an exemplary scenario, in an event, a specific VNF is handling too much network traffic, then in such event, the dynamic query builder may generate one or more queries to shift some of the network traffic to other available VNFs or CNFs associated with said specific VNF, in order to avoid bottlenecks over a specific VNF and ensure smooth performance of all the network components within the communication network.

[0115] At step

[0408] , the method

[0400] comprises storing, by the storage unit

[0306] at the CMP module

[0308] , the generated dynamic query builder in an elastic search database (ES)

[0310] ,

[0116] The method

[0400] herein terminates at step

[0410] ,

[0117] Referring to FIG. 5, another exemplary block diagram of a system

[0500] for managing policies, is shown, in accordance with the exemplary implementations of the present disclosure. The system

[0500] comprises a user interface

[0502] , a capacity monitoring and policy (CMP) module

[0504] , and an elastic search (ES) database

[0506] , Also, all of the components / units of the system

[0500] are assumed to be connected to each other unless otherwise indicated below. As shown in the figures all units shown within the system

[0500] should also be assumed to be connected to each other.

[0118] As shown in FIG. 5, The UI

[0502] serves may facilitate an interaction for allowing users to input a request associated with one or more policies or data related to network management. The request may include one or more parameters such as policy names, CPU usage, RAM usage, storage requirements, and other related data.

[0119] Further, the CMP module

[0504] processes the input request received from the UI

[0502] ,The CMP module

[0504] may accept the one or more policies and related data, such as the policy parameters, and may further initiate a process of generating a dynamic query for managing the one or more policies.

[0120] The CMP module

[0504] may further evaluate the one or more policy related data and uses this information to determine actions like auto-scaling, auditing, or load balancing of network resources.

[0121] Furthermore, the Elastic Search (ES) database

[0506] stores the one or more queries that were generated by the CMP module

[0504] , The ES database

[0506] allows for efficient querying, retrieval, and auditing of stored information related to the generated one or more dynamic policies and other network management operations.

[0122] In an exemplary implementation, CP UI interface communicatively attaches the CMP module

[0504] and the UI

[0502] , CP UI interface is used to route all the incoming requests to CMP module

[0504] and all the outgoing requests from CMP module towards the UI

[0502] ,

[0123] The CP UI interface can comprise at least one of http and web-socket based connection. In an embodiment, the CP UI interface is configured to facilitate exchange of information using hypertext transfer protocol (http) rest application programming interface (API). In an embodiment, the http rest API is used in conjunction with JSON and / or XML communication media. In another embodiment, the CP UI interface is configured to facilitate exchange of information by establishing a web-socket connection between the CMP module

[0504] , and the UI

[0502] , A web-socket connection may involve establishing a persistent connectivity between the UI

[0502] , and the CMP module

[0504] , An example of the web-socket based communication includes, without limitation, a transmission control protocol (TCP) connection. In such a connection, information, such as operational status, health, etc. of different components may be exchanged through the interface using a ping-pong based communication.

[0124] Referring to FIG. 6 an exemplary process

[0600] flow diagram for managing policies, in accordance with exemplary implementations of the present disclosure is shown. In an implementation the process

[0600] is performed by the system

[0500] ,

[0125] The process

[0600] initially starts at step

[0602] ,

[0126] At step

[0604] , the UI

[0502] may allow user to send request to either create, update, or delete one or more policies to the CMP module

[0504] , The request may further include one or more parameters such as CPU usage, RAM, storage requirements, or hysteresis information.

[0127] At step

[0606] , the CMP module

[0504] may receive the request from the UI

[0502] , The CMP module

[0504] processes the data by analysing the one or more policy parameters. Further, based on the analysing the one or more policy parameters the CMP module

[0504] dynamically creates a query builder.

[0128] At step

[0608] , the generated dynamic query builder is then stored in the ES database

[0506] , Herein, the elastic search may be uses as the storage unit that holds the one or more dynamic queries for future access, retrieval, and optimization.

[0129] The process

[0600] herein terminates at step

[0610] ,

[0130] The present disclosure further discloses a non-transitory computer readable storage medium storing instructions for managing policies, the instructions include executable code which, when executed by one or more units of a system

[0300] , causes: a transceiver unit

[0302] , of the system

[0300] , to receive, via a Capacity management platform (CMP) module

[0308] , a request for managing one or more policies. The executable code which, when executed by one or more units of a system

[0300] , causes a processing unit

[0304] , of the system

[0300] , to generate, at the CMP module

[0308] , a dynamic query builder for managing the one or more policies based on the request and one or more policy parameters. The executable code which, when executed by one or more units of a system

[0300] , causes a storage unit

[0306] of the system

[0300] to store, at the CMP module

[0308] , the generated dynamic query builder in an elastic search database (ES)

[0310] ,

[0131] The present disclosure further discloses a user equipment (UE) for managing policies. The UE comprises a system

[0300] and a user interface. Further, the user interface is configured to receive a request for managing one or more policies. Next, the user interface is configured to receive, a dynamic query builder for managing the one or more policies based on the request and one or more policy parameters. Next, the user interface is configured to transmit an input associated with the dynamic query builder, wherein the input is at least one of updating, creating, and deleting one or more policies for managing the one or more policies. Next, the user interface is configured to receive, an output based on the input, wherein the output is generated based on performing one or more operations on resources of a wireless communication network.

[0132] As is evident from the above, the present disclosure provides a technically advanced solution for managing policies. The present solution for policy management by creating a customized policy management system which provides a dynamic query builder. The present invention ensures to tackle user interface requests of policy management thereby allowing seamless creation, modification, and deletion of policies i.e., customisation or management policies which are based on user input(s) / query request(s) at the time of policy creation / modification / deletion events for various system constraint such as CPU / RAM / Storage etc.Additionally, the present invention makes the policy management time efficient as the dynamic policy management queries are handled during the initial design phase thus minimizing manual intervention for modifications in subsequent design stages. The present invention guarantees smooth scalability (both upscaling and downscaling) upon instantiation in the data management. This effectively prevents resource overload as a certain user query being stored in the dynamic query builder.

[0133] While considerable emphasis has been placed herein on the disclosed implementations, it will be appreciated that many implementations can be made and that many changes can be made to the implementations without departing from the principles of the present disclosure. These and other changes in the implementations of the present disclosure will be apparent to those skilled in the art, whereby it is to be understood that the foregoing descriptive matter to be implemented is illustrative and non-limiting.

[0134] Further, in accordance with the present disclosure, it is to be acknowledged that the functionality described for the various components / units can be implemented interchangeably. While specific embodiments may disclose a particular functionality of these units for clarity, it is recognized that various configurations and combinations thereof are within the scope of the disclosure. The functionality of specific units as disclosed in the disclosure should not be construed as limiting the scope of the present disclosure. Consequently, alternative arrangements and substitutions of units, provided they achieve the intended functionality described herein, are considered to be encompassed within the scope of the present disclosure.

Claims

We Claim:

1. A method [400] for managing policies, the method [400] comprising:- receiving, by a transceiver unit [302] via a Capacity management platform (CMP) module [308], a request for managing one or more policies through an interface;- generating, by a processing unit [304] at the CMP module [308], a dynamic query builder for managing the one or more policies based on the request and one or more policy parameters; and- storing, by a storage unit [306] at the CMP module [308], the generated dynamic query builder in an elastic search database (ES) [310],2. The method [400] as claimed in claim 1, wherein the request comprise at least the one or more policy parameters related to managing the one or more policies.

3. The method [400] as claimed in claim 1, wherein managing the one or more policies comprises at least one of updating, creating, and deleting one or more policies.

4. The method [400] as claimed in claim 1, wherein the one or more policy parameters comprise at least one of a policy name, a CPU usage information, a RAM usage information, a storage requirement information and a hysteresis information.

5. The method [400] as claimed in claim 1, wherein the dynamic query builder is configured to perform one or more operations on resources of a wireless communication network, wherein the one or more operations is one of at least an auto-scaling operation, an auditing operation and a load balancing operation.

6. The method [400] as claimed in claim 5, wherein the dynamic query builder is configured to generate one or more queries associated with the resources for performing the one or more operations.

7. The method [400] as claimed in claim 5, wherein the resources of the wireless communication network are associated with one or more virtualized network components, wherein the one virtualized network components is one of at least a virtual network function (VNF), a container network function (CNF), a container network function components (CNFCs), and a virtual network function components (VNFCs).

8. The method as claimed in claim 1, wherein the interface is CP UI interface.

9. The method as claimed in claim 1, wherein the interface is at least one of a graphical user interface (GUI), and a command line interface (CLI).

10. A system [300] for managing policies, the system [300] comprising: a transceiver unit [302] configured to:- receive, via a Capacity management platform (CMP) module [308], a request for managing one or more policies through an interface; a processing unit [304] configured to:- generate, at the CMP module [308], a dynamic query builder for managing the one or more policies based on the request and one or more policy parameters; a storage unit [306] configured to: and- store, at the CMP module [308], the generated dynamic query builder in an elastic search database (ES) [310],11. The system [300] as claimed in claim 10, wherein the request comprise at least the one or more policy parameters related to managing the one or more policies.

12. The system [300] as claimed in claim 10, wherein managing the one or more policies comprises at least one of updating, creating, and deleting one or more policies.

13. The system [300] as claimed in claim 10, wherein the one or more policy parameters comprise at least one of a policy name, a CPU usage information, a RAM usage information, a storage requirement information and a hysteresis information.

14. The system [300] as claimed in claim 10, wherein the dynamic query builder is configured to perform one or more operations on resources of a wireless communication network, wherein the one or more operations is one of at least an auto-scaling operation, an auditing operation and a load balancing operation.

15. The system [300] as claimed in claim 14, wherein the dynamic query builder is configured to generate one or more queries associated with the resources for performing the one or more operations.

16. The system [300] as claimed in claim 14, wherein the resources of the wireless communication network are associated with one or more virtualized network components, wherein the one virtualized network components is one of at least a virtual network function (VNF), a container network function (CNF), a container network function components (CNFCs), and a virtual network function components (VNFCs).

17. The system as claimed in claim 10, wherein the interface is CP UI interface.

18. The system as claimed in claim 10, wherein the interface is at least one of a graphical user interface (GUI), and a command line interface (CLI).

19. A user equipment (UE) for managing policies, the UE comprises a system [300] and a user interface, wherein the user interface is configured to:- receive a request for managing one or more policies through an interface,- receive, a dynamic query builder for managing the one or more policies based on the request and one or more policy parameters,- transmit, an input associated with the dynamic query builder, wherein the input is at least one of updating, creating, and deleting one or more policies for managing the one or more policies, and- receive, an output based on the input, wherein the output is generated based on performing one or more operations on resources of a wireless communication network.

20. A non-transitory computer-readable storage medium, storing instructions for managing policies the storage medium comprising executable code which, when executed by one or more units of a system [300], causes:- a transceiver unit [302], of the system [300], to receive, via a Capacity management platform (CMP) module [308], a request for managing one or more policies through an interface;- a processing unit [304], of the system [300], to generate, at the CMP module [308], a dynamic query builder for managing the one or more policies based on the request and one or more policy parameters;a storage unit [306], of the system [300], to store, at the CMP module [308], the generated dynamic query builder in an elastic search database (ES) [310],

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