Method and system for increasing throughput of data transactions by implementing a storage system

Abstract

The present disclosure relates to a method and a system for increasing throughput of data transactions by implementing a storage system The disclosure encompasses: receiving, at the storage system [300a], transaction requests from application processes [312a, 312b, 312c] for accessing data from the storage system [300a]; identifying, a corresponding database ring from a plurality of database rings [310a, 310b, 310c] of the storage system [300a] for serving the transaction requests from application processes [312a, 312b, 312c] based on a unique data type associated with each of the transaction requests from the application processes; and facilitating, an access of the identified corresponding database ring from the plurality of database rings [310a, 310b, 310c] for serving the transaction requests from application processes [312a, 312b, 312c] based on the unique data type associated with the each transaction request.

Description

METHOD AND SYSTEM FOR INCREASING THROUGHPUT OF DATA TRANSACTIONS BY IMPLEMENTING A STORAGE SYSTEMFIELD OF INVENTION

[0001] Embodiments of the present disclosure generally relate to the field of wireless communication systems. More particularly, the embodiments of the present disclosure relate to methods and systems for increasing throughput of data transactions by implementing a storage system.BACKGROUND

[0002] The following description of 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 be used only to enhance the understanding of the reader with respect to the present disclosure, and not as an admissions of prior art.

[0003] Wireless communication technology has rapidly evolved over the past few decades, with each generation bringing significant improvements and advancements. The first generation of wireless communication technology was based on analog technology and offered only voice services. However, with the advent of the second-generation (2G) technology, digital communication and data services became possible, and text messaging was introduced. 3G technology marked the introduction of high-speed internet access, mobile video calling, and location-based services. The fourth-generation (4G) technology revolutionized wireless communication with faster data speeds, better network coverage, and improved security. Currently, the fifth-generation (5G) technology is being deployed, promising even faster data speeds, low latency, and the ability to connect multiple devices simultaneously. With each generation, wireless communication technology has become more advanced, sophisticated, and capable of delivering more services to its users.

[0004] The nodes in the existing wireless communication systems, such as access and mobility management function (AMF) node, sessions management function (SMF) node, use a database for storing logical data in persistence mode, for different types of data type. For example, AMF node has distributed process architecture wherein multiple core processes-executing business logic arerunning on multiple nodes or containers that are connected to a database server. These also need timely responses from the database. This also means that various processors are connected to the databases and running at the backend at the same time, and multiple threads may take application requests at the same time and may connect to the database (DB) at the same time. These nodes may generate very high rates of transactions or data traffic towards database (DB). This may also lead to several other limitations such as timeout, buffering, queueing of requests due to large volume of traffic at the same time.

[0005] As each database has a limited capacity or rate of handling transactions, this limits the fulfilling applications requirement of a very high transaction rate. This imitation, in many cases, causes lags or delays in response. This, in turn, affects application server capacity to support parallel transaction rate. Also, on application start or stop, different data types stored in DB need specific handling to be preserved or cleared data, which is not served by using single DB residing inside a single container.

[0006] Thus, there exists an imperative need in the art to provide a method and a system for increasing throughput of data transactions by implementing a storage system, which the present disclosure aims to address.SUMMARY

[0007] 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.

[0008] An aspect of the present disclosure may relate to a method for increasing throughput of data transactions by implementing a storage system. The method includes receiving, by a processing unit at the storage system, one or more transaction requests from one or more application processes for accessing data from the storage system. Next, the method includes identifying, by the processing unit, a corresponding database ring from a plurality of database rings of the storage system for serving the one or more transaction requests from one or more application processes based on a unique data type associated with each of the one or more transaction requests from the one or more application processes. Thereafter, the method includes facilitating, by the processing unit, an access of the identified corresponding database ring from the plurality ofdatabase rings for serving the one or more transaction requests from one or more application processes based on the unique data type associated with each transaction request.

[0009] In an exemplary aspect of the present disclosure, the application processes are associated with one or more network nodes.

[0010] In an exemplary aspect of the present disclosure, wherein each database ring of the plurality of database rings is connected to a separate database instance.

[0011] In an exemplary aspect of the present disclosure, the method further comprises performing, by each database ring of the plurality of database rings, one or more target actions for a corresponding data type handled by each database ring.

[0012] In an exemplary aspect of the present disclosure, the one or more target actions are performed based on at least one of a start operation, a stop operation, and a restart operation associated with the one or more application processes.

[0013] Another aspect of the present disclosure may relate to a storage system. The database comprises a database container comprising a plurality of database rings, wherein each database ring of the plurality of database rings is connected to one or more application processes, and wherein each database ring of the plurality of database rings is configured to handle a unique data type of a data associated with one or more transaction requests from the one or more application processes.

[0014] Another aspect of the present disclosure may relate to a system for increasing throughput of data transactions by implementing a storage system. The system comprises a processing unit configured to receive at the storage system, one or more transaction requests from one or more application processes for accessing data from the storage system; the processing unit configured to identify a corresponding database ring from a plurality of database rings of the storage system for serving the one or more transaction requests from one or more application processes based on a unique data type associated with each of the one or more transaction requests from the one or more application processes; and the processing unit configured to facilitate an access of the identified corresponding database ring from the plurality of database rings for serving the one or more transaction requests from one or more application processes based on the unique data type associated with the each transaction request.

[0015] Yet another aspect of the present disclosure may relate to a non-transitory computer readable storage medium storing instructions for increasing throughput of data transactions by implementing a storage system, the instructions include executable code which, when executed by one or more units of a system, causes: a processing unit of the system to: receive at the storage system, one or more transaction requests from one or more application processes for accessing data from the storage system; identify a corresponding database ring from a plurality of database rings of the storage system for serving the one or more transaction requests from one or more application processes based on a unique data type associated with each of the one or more transaction requests from the one or more application processes; facilitate an access of the identified corresponding database ring from the plurality of database rings for serving the one or more transaction requests from one or more application processes based on the unique data type associated with the each transaction request.OBJECTS OF THE INVENTION

[0016] Some of the objects of the present disclosure, which at least one embodiment disclosed herein satisfies are listed herein below.

[0017] It is an object of the present disclosure to provide a system and a method for implementing a storage system that minimizes response time for serving application requests.

[0018] It is another object of the present disclosure to provide a solution that provides multiplexed throughput capacity on the same set of hardware.DESCRIPTION OF THE DRAWINGS

[0019] 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 in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Some drawings may indicate the components using block diagrams and may not represent the internal circuitry of each component. It will be appreciated bythose skilled in the art that disclosure of such drawings includes disclosure of electrical components, electronic components or circuitry commonly used to implement such components.

[0020] FIG. 1 illustrates an exemplary block diagram representation of 5th generation core (5GC) network architecture.

[0021] 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.

[0022] FIG. 3 illustrates an exemplary block diagram of a system for increasing throughput of data transactions by implementing a storage system, in accordance with exemplary implementations of the present disclosure.

[0023] FIG. 4 illustrates a method flow diagram for increasing throughput of data transactions by implementing a storage system, in accordance with exemplary implementations of the present disclosure.

[0024] FIG. 5 illustrates an exemplary block diagram of existing solution or prior art for implementing a storage system.

[0025] The foregoing shall be more apparent from the following more detailed description of the disclosure.DETAILED DESCRIPTION

[0026] 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 used independently 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.

[0027] 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 theexemplary 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.

[0028] 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 skills 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.

[0029] 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.

[0030] 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.

[0031] 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 / outputprocessing, 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.

[0032] 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 at least one of a transceiver unit, a processing unit, a storage unit, a detection unit and any other such unit(s) which are required to implement the features of the present disclosure.

[0033] 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.

[0034] 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 as 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.

[0035] 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.

[0036] As used herein the transceiver unit includes 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.

[0037] As discussed in the background section, the current known solutions have several shortcomings such as those related to limited throughput, high response time for serving application requests, timeouts, different handling on application cluster restart and delays in response at application etc. The present disclosure aims to overcome the above-mentioned and other existing problems in this field of technology by providing methods and systems for increasing throughput of data transactions by implementing a storage system. The present disclosure minimizes response time for serving application requests. In the present solution, each data type is served by a separate database ring. In the existing solutions related to database setup, a set of threads accept incoming traffic coming from application processes, performs required processing for a request and respond back in required minimal response time. In the present solution, there are multiple database setups / rings in the same container where each ring specific setup handles one type of logical data, providing multiplexed throughput capacity on the same set of hardware.

[0038] In general, an application with multiple distributed process architecture needs very high database transaction rate support from database applications. Database applications have a limit of finite transaction rate support. In order to cater high transaction rate need, multiple setups / instances may be created inside same container where container resource usage is shared across all multiple setups which in term makes multiple threads available for handling application traffic producing multiplexed throughput on same hardware resource as per hardware’s maximum limits in terms of throughput. Also, in such an approach all types of logical data may need separate handling on cluster stop, which is possible in the present disclosure’s approach.

[0039] FIG. 1 illustrates an exemplary block diagram representation of 5th generation core (5GC) network architecture, in accordance with exemplary implementation of the present disclosure. As shown in FIG. 1, the 5GC network architecture

[0100] includes a user equipment (UE)

[0102] , a radio access network (RAN)

[0104] , an access and mobility management function (AMF)

[0106] , a Session Management Function (SMF)

[0108] , a Service Communication Proxy (SCP)

[0110] , an Authentication Server Function (AUSF)

[0112] , a Network Slice Specific Authentication and Authorization Function (NSSAAF)

[0114] , a Network Slice Selection Function (NSSF)

[0116] , aNetwork Exposure Function (NEF)

[0118] , a Network Repository Function (NRF)

[0120] , a Policy Control Function (PCF)

[0122] , a Unified Data Management (UDM)

[0124] , an application function (AF)

[0126] , a User Plane Function (UPF)

[0128] , a data network (DN)

[0130] , wherein 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.

[0040] Radio Access Network (RAN)

[0104] is the part of a mobile telecommunications system that connects user equipment (UE)

[0102] to the core network (CN) and provides access to different types of networks (e.g., 5G network). It consists of radio base stations and the radio access technologies that enable wireless communication.

[0041] Access and Mobility Management Function (AMF)

[0106] is a 5G core network function responsible for managing access and mobility aspects, such as UE registration, connection, and reachability. It also handles mobility management procedures like handovers and paging.

[0042] Session Management Function (SMF)

[0108] is a 5G core network function responsible for managing session-related aspects, such as establishing, modifying, and releasing sessions. It coordinates with the User Plane Function (UPF)

[0128] for data forwarding and handles IP address allocation and QoS enforcement.

[0043] Service Communication Proxy (SCP)

[0110] is a network function in the 5G core network that facilitates communication between other network functions by providing a secure and efficient messaging service. It acts as a mediator for service-based interfaces.

[0044] Authentication Server Function (AUSF)

[0112] is a network function in the 5G core responsible for authenticating UEs during registration and providing security services. It generates and verifies authentication vectors and tokens.

[0045] Network Slice Specific Authentication and Authorization Function (NSSAAF)

[0114] is a network function that provides authentication and authorization services specific to network slices. It ensures that UEs can access only the slices for which they are authorized.

[0046] Network Slice Selection Function (NSSF)

[0116] is a network function responsible for selecting the appropriate network slice for a UE based on factors such as subscription, requested services, and network policies.

[0047] Network Exposure Function (NEF)

[0118] is a network function that exposes capabilities and services of the 5G network to external applications, enabling integration with third-party services and applications.

[0048] Network Repository Function (NRF)

[0120] is a network function that acts as a central repository for information about available network functions and services. It facilitates the discovery and dynamic registration of network functions.

[0049] Policy Control Function (PCF)

[0122] is a network function responsible for policy control decisions, such as QoS, charging, and access control, based on subscriber information and network policies.

[0050] Unified Data Management (UDM)

[0124] is a network function that centralizes the management of subscriber data, including authentication, authorization, and subscription information.

[0051] Application Function (AF)

[0126] is a network function that represents external applications interfacing with the 5G core network to access network capabilities and services.

[0052] User Plane Function (UPF)

[0128] is a network function responsible for handling user data traffic, including packet routing, forwarding, and QoS enforcement.

[0053] Data Network (DN)

[0130] refers to a network that provides data services to user equipment (UE) in a telecommunications system. The data services may include but are not limited to Internet services, private data network related services.

[0054] FIG. 2 illustrates an exemplary block diagram of a computing device

[0200] (also referred herein as a computer system

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

[0200] may also implement a method for increasing throughput of data transactions by implementing a storage system utilising the system. In another implementation, the computing device

[0200] itself implements the method for increasing throughput of data transactions by implementing a storage system using one or more unitsconfigured within the computing device

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

[0055] The computing device

[0200] may include a bus

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

[0204] coupled with bus

[0202] for processing 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 non-transitory storage media accessible to the processor

[0204] , render the computing device

[0200] into a special-purpose machine that is customized to perform the operations specified in 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] ,

[0056] 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 computer user. 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 input device typically has two degrees of freedom in two axes, a first axis (e.g., x) and a second axis (e.g., y), that allow the device to specify positions in a plane.

[0057] 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 machine. According to one implementation, the techniques herein are performed by the computing device

[0200] in response to the processor

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

[0206] , Such instructions may be read into the main memory

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

[0210] , Execution of the sequences of 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.

[0058] The computing device

[0200] also may include a communication interface

[0218] coupled to the bus

[0202] , The communication interface

[0218] provides a 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 telephone line. As 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 various types of information.

[0059] The computing device

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

[0220] and the communication interface

[0218] , In the Internet example, a server

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

[0228] , the ISP

[0226] , the local network

[0222] , 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.

[0060] The computing device

[0200] encompasses a wide range of electronic devices capable of processing data and performing computations. Examples of computing devices

[0200] include, but are not limited only to, personal computers, laptops, tablets, smartphones, servers, and embedded systems. The devices may operate independently or as part of a network and can perform a variety of tasks such as data storage, retrieval, and analysis. Additionally, computing devices

[0200] may include peripheral devices, such as monitors, keyboards, and printers, as well as integrated components within larger electronic systems, showcasing their versatility in various technological applications.

[0061] Referring to FIG. 5, an exemplary block diagram

[0500] of existing solution or prior art for implementing a storage system (such as non-cluster database), is shown. As per the traditional approach implemented by the system, container resources are utilized by a single database application catering all types of logical data or all ring traffic managed by a single database instance, which delays the response that affects application server capacity to support parallel transaction rate and limits the applications requirement of very high transaction rate.

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

[0300] for increasing throughput of data transactions by implementing a storage system, is shown, in accordance with the exemplary implementations of the present disclosure. The system

[0300] comprises at least one storage system [300a], at least one processing unit

[0304] , at least one storage unit

[0306] and at least one application process

[0308] , The storage system [300a] further comprises at least one Database Container

[0302] , and Database Ring

[0310] (Database Ring 1 [310a], Database Ring 2 [310b] and Database Ring 3 [310c]). The application process

[0308] comprises Process

[0312] (Process 1 [312a], Process 2 [312b] and Process 3 [312c]). 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 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 to implement the features of the present disclosure. The system

[0300] may be a part of the user device or may be independent of but in communication with the user device (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 increasing throughput of data transactions by implementing a storage system, with the help of the interconnection between the components / units of the system

[0300] ,

[0064] The system

[0300] comprises a storage system [300a],

[0065] The storage system [300a] comprises a database container

[0302] comprising a plurality of database rings [310a, 310b, 310c], In an exemplary implementation, the database container

[0302] is configured to run at least one database instance in a virtualized environment. Examples of thedatabase may include but are not limited only to, MySQL, MongoDB and PostgreSQL and the like. The database ring refers to instances of databases inside the container

[0302] , The database ring is a logical partition for each datatype. Examples of data types include, but not limited only to a string data type, a hash data type, a list type, object type.

[0066] Each database ring of the plurality of database rings [310a, 310b, 310c] is connected to one or more application processes [312a, 312b, 312c], The one or more application processes [312a, 312b, 312c] are associated with one or more network nodes. Examples of the application processes can include, but not limited only to core processes such as registration process, load balancing process, mobility process, and the like. In an exemplary implementation, one or more network nodes may be such as, but not limited to, access and mobility management (AMF) and session management function (SMF). Further, each database ring of the plurality of database rings [310a, 310b, 310c] is connected to a separate database instance. Each separate database instance may have a unique identifier. In an exemplary implementation, each separate database instance may have the same or different configuration, data types or traffic data handling capacity.

[0067] Each database ring of the plurality of database rings [310a, 310b, 310c] is configured to perform one or more target actions for a corresponding data type handled by each database ring. In an exemplary implementation, the one or more target actions are performed based on at least one of a start operation, a stop operation, and a restart operation associated with the one or more application processes [312a, 312b, 312c],

[0068] In an exemplary aspect, in the start operation, the system initiates a new transaction process for handling the data. The system may identify a database ring from the plurality of database rings [310a, 310b, 310c] that may handle the specific type of data. The start operation enables the necessary resources (such as network nodes and database instances) are prepared and engaged for the new task.

[0069] In an exemplary aspect, in the stop operation, the system halts or terminates an ongoing transaction process. Once the data has been successfully processed and is no longer needed, or if an error occurs that requires stopping the current process. The stop operation enables that the resources are freed up and not wasted on completed or faulty transaction.

[0070] In an exemplary aspect, the restart operation occurs when the system needs to stop and then immediately restart a transaction process. If a process failed or needed to be refreshed due to system condition (such as update or error). The restart operation enables the system to resume thetransaction from where it left off or begin it a fresh, minimizing disruption in data handling and maintaining system efficiency.

[0071] Furthermore, each database ring of the plurality of database rings [310a, 310b, 310c] is configured to handle a unique data type of a data associated with one or more transaction requests from the one or more application processes [312a, 312b, 312c], In an exemplary implementation, examples of unique data types include, but not limited only to a string data type, a hash data type, a list type, an object type. In an implementation, for handling the one or more transaction requests may be associated with such as, but not limited to, at least one of processing, storing and fetching data to / from each database ring of the plurality of database rings [310a, 310b, 310c], In an implementation, the transaction requests may be associated with one or more network nodes, such as, but not limited to AMF and SMF. In an implementation, the transaction requests may have different or the same data and data type for the AMF and SMF. In an exemplary implementation, the system manages data corresponding to mobility of a user device for the AMF. Further, the system manages data corresponding to sessions related to user device etc., for the SMF.

[0072] Further, as shown in FIG. 3, the one or more application processes [312a, 312b, 312c] are connected to the plurality of database rings [310a, 310b, 310c] of the database container

[0302] , In an implementation, each data type of the application processes [312a, 312b, 312c] is handled by a separate database ring [310a, 310b, 310c], The database ring 1 [310a] may handle data type 1, database ring 2 [310b] may handle data type 2, and the database ring 3 [310c] may handle data type 3. Also, there may be any number of database rings created in the database container

[0302] as may be required to implement the features of the present disclosure.

[0073] Due to multiple database rings’ setups, the count of threads catering application traffic may be increased and parallel request processing capacity may be multiplexed by the number of instances, i.e., the database rings [310a, 310b, 310c], which increase throughput of data transactions. The increased number of instances may be sufficient to support the required transaction rate. Further, the plurality of the database rings [310a, 310b, 310c] are created inside the same container where container resource usage is shared across all the database rings’ setups which in term makes multiple threads available for handling application traffic producing multiplexed throughput on the same physical resource. In an implementation, all predefined data types of setups for the plurality of database rings need separate handling on cluster stop, which is only possible via the present disclosure approach like database flush on cluster stop for specific type of data or database ring.

[0074] The storage unit

[0306] is configured to store the data handled by the database container

[0302] and other such information so as to facilitate the implementation of the features of the present disclosure.

[0075] Referring to FIG. 4, an exemplary method flow

[0400] diagram for increasing throughput of data transactions by implementing a storage system, in accordance with exemplary implementations of the present disclosure, is shown. In an implementation the method

[0400] is performed by the system

[0300] , As shown in FIG. 4, the method

[0400] starts at step

[0402] ,

[0076] At step

[0404] , the method

[0400] as disclosed by the present disclosure comprises receiving, by a processing unit

[0304] at the storage system [300a], one or more transaction requests from one or more application processes [312a, 312b, 312c] for accessing data from the storage system [300a], The method

[0400] implemented by the processing unit

[0304] at the storage system [300a] may receive the one or more transaction requests from one or more application processes [312a, 312b, 312c] for accessing the data. The one or more application processes [312a, 312b, 312c] are associated with one or more network nodes, such as access and mobility management (AMF) and session management function (SMF). The one or more transaction requests from one or more application processes [312a, 312b, 312c] may associated with such as, but not limited to, at least one of processing, storing, and fetching data to / from each database ring of the plurality of database rings [310a, 310b, 310c], Examples of the application processes can include, but not limited only to core processes such as registration process, load balancing process, mobility process, and the like. In an implementation, the transaction requests may have different or the same data and data type for the AMF and SMF. In an exemplary implementation, the system manages data corresponding to mobility of a user device for the AMF. Further, the system manages data corresponding to sessions related to user device etc., for the SMF.

[0077] Next, at step

[0406] , the method

[0400] as disclosed by the present disclosure comprises identifying, by the processing unit

[0304] , a corresponding database ring from a plurality of database rings [310a, 310b, 310c] of the storage system [300a] for serving the one or more transaction requests from one or more application processes [312a, 312b, 312c] based on a unique data type associated with each of the one or more transaction requests from the one or more application processes [312a, 312b, 312c], Further, the processing unit

[0304] may identify the unique data type associated with each of the one or more transaction requests and corresponding database ring for serving the transaction requests. In an implementation, the processing unit

[0304] may identify the unique data type associated with the application processes [312a, 312b, 312c] handled by a separate database ring [310a, 310b, 310c], The database ring 1 [310a] may handle adata type 1, the database ring 2 [310b] may handle a data type 2, and the database ring 3 [310c] may handle a data type 3 of the transaction requests from the one or more application processes [312a, 312b, 312c], In an implementation, each database ring of the plurality of database rings [310a, 310b, 310c] is connected to a separate database instance. Each separate database instance may have a unique identifier. In an exemplary implementation, each separate database instance may have the same or different configuration, data types or traffic data handling capacity.

[0078] Next, at step

[0408] , the method

[0400] as disclosed by the present disclosure comprises facilitating, by the processing unit

[0304] , an access of the identified corresponding database ring from the plurality of database rings [310a, 310b, 310c] for serving the one or more transaction requests from one or more application processes [312a, 312b, 312c] based on the unique data type associated with each transaction request. After identifying each database ring from the plurality of database rings [310a, 310b, 310c] of the storage system [300a], the processing unit

[0304] may facilitate the access of the identified corresponding database ring from the plurality of database rings [310a, 310b, 310c] for serving the one or more transaction requests from one or more application processes [312a, 312b, 312c], Furthermore, each database ring of the plurality of database rings [310a, 310b, 310c] may handle the unique data type of a data associated with one or more transaction requests from the one or more application processes [312a, 312b, 312c], In an exemplary implementation, unique data types include, but not limited only to a string data type, a hash data type, a list type, an object type. In an implementation, for handling the one or more transaction requests may be associated with such as, but not limited to, at least one of processing, storing and fetching data to / from each database ring of the plurality of database rings [310a, 310b, 310c], Further, each database ring of the plurality of database rings [310a, 310b, 310c] may perform one or more target actions for a corresponding data type handled by each database ring. In an exemplary implementation, the one or more target actions are performed based on at least one of a start operation, a stop operation, and a restart operation associated with the one or more application processes [312a, 312b, 312c],

[0079] In an exemplary aspect, in the start operation, the system initiates a new transaction process for handling the data. The system may identify a database ring from the plurality of database rings [310a, 310b, 310c] that may handle the specific type of data. The start operation enables that the necessary resources (such as network nodes and database instances) are prepared and engaged for the new task.

[0080] In an exemplary aspect, in the stop operation, the system halts or terminates an ongoing transaction process. Once the data has been successfully processed and is no longer needed, or ifan error occurs that requires stopping the current process. The stop operation enables that the resources are freed up and not wasted on completed or faulty transaction.

[0081] In an exemplary aspect, the restart operation occurs when the system needs to stop and then immediately restart a transaction process. If a process failed or needed to be refreshed due to system condition (such as update or error). The restart operation enables the system to resume the transaction from where it left off or begin it a fresh, minimizing disruption in data handling and maintaining system efficiency.

[0082] Thereafter, the method

[0400] terminates at step

[0010] ,

[0083] The present disclosure may relate to a system

[0300] for increasing throughput of data transactions by implementing a storage system [300a], The system

[0300] comprises a processing unit

[0304] configured to receive at the storage system [300a], one or more transaction requests from one or more application processes [312a, 312b, 312c] for accessing data from the storage system [300a]; the processing unit

[0304] configured to identify a corresponding database ring from a plurality of database rings [310a, 310b, 310c] of the storage system [300a] for serving the one or more transaction requests from one or more application processes [312a, 312b, 312c] based on a unique data type associated with each of the one or more transaction requests from the one or more application processes [312a, 312b, 312c]; and the processing unit

[0304] configured to facilitate an access of the identified corresponding database ring from the plurality of database rings [310a, 310b, 310c] for serving the one or more transaction requests from one or more application processes [312a, 312b, 312c] based on the unique data type associated with the each transaction request.

[0084] The present disclosure may relate to a non-transitory computer readable storage medium storing instructions for increasing throughput of data transactions by implementing a storage system [300a], the instructions include executable code which, when executed by one or more units of a system

[0300] , causes: a processing unit

[0304] of the system to: receive at the storage system [300a], one or more transaction requests from one or more application processes [312a, 312b, 312c] for accessing data from the storage system [300a]; identify a corresponding database ring from a plurality of database rings [310a, 310b, 310c] of the storage system for serving the one or more transaction requests from one or more application processes [312a, 312b, 312c] based on a unique data type associated with each of the one or more transaction requests from the one or more application processes [312a, 312b, 312c]; facilitate an access of the identified corresponding database ring from the plurality of database rings [310a, 310b, 310c] for serving the one or moretransaction requests from one or more application processes [312a, 312b, 312c] based on the unique data type associated with the each transaction request.

[0085] As is evident from the above, the present disclosure provides a technically advanced solution for implementing a storage system (such as non-cluster database). The present solution minimizes response time for serving application requests. Further, the present solution comprises creating multiple setups / instances inside the same container where container resource usage is shared across all multiple setups, which makes multiple threads available for handling application traffic producing multiplexed throughput on the same hardware resource.

[0086] While considerable emphasis has been placed herein on the disclosed embodiments, it will be appreciated that many embodiments can be made and that many changes can be made to the embodiments without departing from the principles of the present disclosure. These and other changes in the embodiments 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.

[0087] 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.

Claims

We Claim:

1. A storage system [300a], the storage [300a] comprising: a database container [302] comprising a plurality of database rings [310a, 310b, 310c], wherein each database ring of the plurality of database rings [310a, 310b, 310c] is connected to one or more application processes [312a, 312b, 312c], and wherein each database ring of the plurality of database rings [310a, 310b, 310c] is configured to handle a unique data type of a data associated with one or more transaction requests from the one or more application processes [312a, 312b, 312c],2. The storage as claimed in claim 1, wherein the application processes [312a, 312b, 312c] are associated with one or more network nodes.

3. The storage as claimed in claim 1, wherein each database ring of the plurality of database rings [310a, 310b, 310c] is connected to a separate database instance.

4. The storage as claimed in claim 1, wherein each database ring of the plurality of database rings [310a, 310b, 310c] is configured to perform one or more target actions for a corresponding data type handled by each of the plurality of database rings.

5. The storage as claimed in claim 4, wherein the one or more target actions are performed based on at least one of a start operation, a stop operation, and a restart operation associated with the one or more application processes [312a, 312b, 312c],6. A method for increasing throughput of data transactions by implementing a storage system [300a], the method comprising: receiving, by a processing unit [304] at the storage system [300a], one or more transaction requests from one or more application processes [312a, 312b, 312c] for accessing data from the storage system [300a]; identifying, by the processing unit [304], a corresponding database ring from a plurality of database rings [310a, 310b, 310c] of the storage system [300a] for serving the one or more transaction requests from one or more application processes [312a, 312b, 312c] based on a unique data type associated with each of the one or more transaction requests from the one or more application processes [312a, 312b, 312c]; andfacilitating, by the processing unit [304], an access of the identified corresponding database ring from the plurality of database rings [310a, 310b, 310c] for serving the one or more transaction requests from one or more application processes [312a, 312b, 312c] based on the unique data type associated with each of the one or more transaction requests.

7. The method as claimed in claim 6, wherein the application processes [312a, 312b, 312c] are associated with one or more network nodes.

8. The method as claimed in claim 6, wherein each database ring of the plurality of database rings [310a, 310b, 310c] is connected to a separate database instance.

9. The method as claimed in claim 6, wherein the method comprises performing, by each database ring of the plurality of database rings [310a, 310b, 310c], one or more target actions for a corresponding data type handled by each of the plurality of database rings.

10. The method as claimed in claim 9, wherein the one or more target actions are performed based on at least one of a start operation, a stop operation, and a restart operation associated with the one or more application processes [312a, 312b, 312c],11. A system [300] for increasing throughput of data transactions by implementing a storage system [300a], the system comprising: a processing unit [304] configured to: o receive at the storage system [300a], one or more transaction requests from one or more application processes [312a, 312b, 312c] for accessing data from the storage system [300a]; o identify a corresponding database ring from a plurality of database rings [310a, 310b, 310c] of the storage system [300a] for serving the one or more transaction requests from one or more application processes [312a, 312b, 312c] based on a unique data type associated with each of the one or more transaction requests from the one or more application processes [312a, 312b, 312c]; and o facilitate an access of the identified corresponding database ring from the plurality of database rings [310a, 310b, 310c] for serving the one or more transaction requests from one or more application processes [312a, 312b, 312c]based on the unique data type associated with each of the one or more transaction requests.

12. The system as claimed in claim 11, wherein the application processes [312a, 312b, 312c] are associated with one or more network nodes.

13. The system as claimed in claim 11, wherein each database ring of the plurality of database rings [310a, 310b, 310c] is connected to a separate database instance.

14. The system as claimed in claim 11, wherein the processing unit is configured to perform, by each database ring of the plurality of database rings [310a, 310b, 310c], one or more target actions for a corresponding data type handled by each of the plurality of database rings.

15. The system as claimed in claim 14, wherein the one or more target actions are performed based on at least one of a start operation, a stop operation, and a restart operation associated with the one or more application processes [312a, 312b, 312c],16. A non-transitory computer readable storage medium storing instructions for increasing throughput of data transactions by implementing a storage system [300a], the instructions include executable code which, when executed by one or more units of a system [300], causes: a processing unit [304] of the system to: receive at the storage system [300a], one or more transaction requests from one or more application processes [312a, 312b, 312c] for accessing data from the storage system [300a]; identify a corresponding database ring from a plurality of database rings [310a, 310b, 310c] of the storage system for serving the one or more transaction requests from one or more application processes [312a, 312b, 312c] based on a unique data type associated with each of the one or more transaction requests from the one or more application processes [312a, 312b, 312c]; and facilitate an access of the identified corresponding database ring from the plurality of database rings [310a, 310b, 310c] for serving the one or more transaction requests from one or more application processes [312a, 312b, 312c] based on the unique data type associated with each of the one or more transaction requests.

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