40 results about "Resource adaptation" patented technology

A policy change management scheme for network resource management through dynamic policy adaptations especially suitable for DiffServ-enabled MPLS networks is presented. The scheme incorporates automated resource adaptation capabilities to assure QoS for user traffic and to promote resource utilization in DiffServ-enabled MPLS networks. A suite of resource management policies, an ordered set of methods for adjusting policies, and interfaces to a companion policy-based network management system are provided. The policies are periodically adjusted based on predictive bandwidth estimation algorithms ensuring optimal resource allocation to individual service classes and enabling adjustment of resources for handling current traffic and traffic expected for the near future. Resource allocations to individual service classes are adapted through policy changes when bandwidth utilization deviates from normal level or congestion exists in one or more service classes, allowing corrections to abnormal allocation of resources in incipient phases of congestion.

The invention provides a resource adaptation resolution server DDoS attack detection defense method in a smart collaborative network. The method comprises the following steps: when a data packet transmission condition in the smart collaborative network conforms to a connection migration condition, migrating the connection between a network component and the resource adaptation resolution server toa cache server, and connecting the cache server to the resource adaptation resolution server; receiving and caching a service request packet sent to the resource adaptation resolution server by the network component by the cache server, and detecting whether the resource adaptation resolution server is subjected to the DDoS attack according to a feature tuple of the service request packet by using a decision tree algorithm; and after detecting the DDoS attack, forwarding the service request packet in a differentiated way by using a defense strategy based on a weight priority queue. Accordingto the resource adaptation resolution server DDoS attack detection defense method in the smart collaborative network provided by the invention, a binary tree branch is established by using the decision tree detection algorithm and combining a plurality of feature properties, and feature extraction is carried out on whole network service request information, thus the attack state can be judged moreaccurately, and defense measures can be taken in time to alleviate the influence brought by the DDoS attack.

A system used for realizing resource adaptation of lattice comprises management nodes being connected with each other as per binary sequence tree structure and being used to store calculation resource information with attribute value being distributed in its section value as well as to process resource query request. The method for realizing lattice resource adaptation used on single value query and section value query as well as method for balancing load are also disclosed.

The invention discloses a static resource adaptation method, a device, a computer device and a storage medium. The method comprises the following steps of: acquiring a dom element list transmitted bya client; loading local or remote static resources on the current page, and acquiring an event list by analyzing the dom element list; performing operation reproduction according to the loaded staticresources and the event list. According to the method, the static resource loading of the local APP version and the online html page version can be simultaneously compatible at the seat end, namely, the static resources and corresponding accurate manipulation and reproduction are loaded in a plurality of ways, and the operation guide of the seat to the user is facilitated.

The invention discloses an application resource downloading adaptation method and an application resource downloading adaptation device. The downloading adaptation method comprises the following steps of: for each application resource, constructing adaptation exclusion information according to the performance description information of a known terminal unadapted to the application resource; and automatically acquiring the performance description information of a terminal accessing a server, matching the performance description information with the adaptation exclusion information of each application resource, and transmitting the application resources of which the adaptation exclusion information is unmatched with the performance description information to the terminal for display. By the method and the device, the resource adaptation efficiency can be ensured, and simultaneously the adaptation of the application resources to the terminal is not required to be frequently modified so as to greatly increase the utilization rate of the application resources.

The invention provides a server scheduling method and device, and a server. In the field of big data, while a to-be-processed target operation task is obtained from a public task queue based on a server scheduling method, attribute information of the target operation task and current state parameters of a plurality of node servers are further obtained; further, according to the attribute information of the target operation task and the current state parameters of the plurality of node servers, a resource adaptation value of each node server about the target operation task is determined by utilizing a preset resource preemptive algorithm; a matched node server is screened out from a plurality of node servers as a target node server suitable for processing a target operation task according to the resource adaptation values; and the target operation task is sent to a target node server for processing. Therefore, the processing resources of the node servers can be fully and effectively utilized, the proper node servers are accurately scheduled to process the operation tasks, and the overall operation task processing efficiency of the system is improved.

The present disclosure provides a framework for adaptive resource handling of applications being executed in distributed systems so as to ensure efficient resource utilization. The present disclosureprovides a framework: to enable a client to participate in identifying application uniquely using tags such that resource adaptation is more effective, to collect and store resource statistics for anapplication task against various parameters, to monitor resources done based on historical statistics collected, to resource management is done based on historically identified resource usage limits,and if exact match for the records are not found then based on confidence score the limits are identified, and to enable each resource manager (RM) agent to receives the workers to be launched with both limits: given by the application (hard limit) and by the historical statistics (soft limit).

The invention provides a resource management system in cloud computation environment. The system comprises a service management device, a resource management device and a resource adaptation device. The service management device provides resource allocation and access interfaces and receives a resource allocation request. The resource management device manages and schedules resources of a certain data center and decomposes the resource allocation request into various resource allocation parameter requests of various specific types. The resource adaptation device converts the resource allocation parameter requests of a certain type into allocation commands of specified manufacture products. A hierarchical management mode is adopted, virtualization, networks and storage products of various manufacturers in multiple trans-regional cloud computation data centers can be managed in a unified mode.

The embodiment of the invention provides a resource management method and device, equipment and a storage medium. In the resource management method, a training code corresponding to a training task is analyzed, and training data corresponding to the training task and computing resource demand information of the training task can be obtained. Based on this, the training data can be synchronized to the cloud storage resources on the cloud platform, and the computing resource instance is allocated for the training task on the cloud platform according to the computing resource demand information, so that automatic adaptation of the storage resources and the computing resources on the cloud platform is realized, and the complexity of resource adaptation is reduced.

The invention provides a cross-platform graphic middleware-based navigation secondary development control system. The system comprises a system resource adaptation module, an application integrated frame module, a map rendering engine module, a spatial data analysis module and a user interaction control module, wherein the system resource adaptation module is used for shielding difference of multiple terminal platforms in software and hardware resources and providing core system resources on which a running support environment depends; the application integrated frame module is used for supporting installation and running of terminal applications; the map rendering engine module is used for visually outputting a map; and the spatial data analysis module is used for realizing the management of a stacking sequence and visibility of graphic layers in response to a user operation and providing a visual graphic interface. According to the system, a multi-concurrent and high-performance map rendering engine is provided; multiple data formats and data format extension are supported; navigation and map applications can be quickly established; perfect application management and function self-definition configuration are achieved; and system secondary development is facilitated.

The invention provides an equipment adaptation method and a network management device, relates to the field of communication, can realize resource adaptation for different equipment models of different manufacturers, greatly reduces adaptation steps, omits a complicated repeated adaptation process, does not need to infinitely expand and develop a program, solves the problem that cold deployment affects online services, and therefore, the management efficiency of the comprehensive network management system on the network resources is improved. The method is applied to a network management device and comprises the steps of obtaining resource information of equipment; generating a relational database according to the logic relation between the resource information, and storing the resource information organized according to a preset rule in the relational database; obtaining adaptation parameters of the equipment from the relational database according to a preset configuration file template, and generating a configuration file of the equipment, wherein the adaptation parameters are used for describing hardware structure information of the equipment; and reading the configuration fileto complete equipment adaptation.

The invention discloses an edge computing resource scheduling method. The method comprises the following steps: generating a corresponding user-defined machine room pre-selection strategy and a user-defined host pre-selection strategy according to the computing power demands of different clients, and determining a target machine room meeting the demands of a user from selectable machine rooms according to the strategies; and selecting the target host adapting to the user demand from the target computer room, and scheduling the optimal computing power resource of the optimal node meeting the client demand to adapt to variable user service scenes. The screened target host is used as a scheduling result, the user demand is responded, and the user service quality is improved. The invention further discloses an edge computing resource scheduling device, equipment and a readable storage medium, which have corresponding technical effects.

The invention provides a data processing device, a cloud server and a use method thereof. The data processing device comprises a system controller, an uplink network interface, a secondary interconnection interface, a storage interface and a processor interface, wherein the secondary interconnection interface is connected with other data processing devices, and forms an interconnection network with other data processing devices; the system controller is used for performing data communication through the secondary interconnection interface according to a network communication protocol, transmitting Ethernet messages, storage messages and management messages on an interconnection network, and exchanging messages between processors as well as between a processor and an external network according to an Ethernet communication protocol so as to meet the storage requirements of the processors on storage equipment. The data processing devices are interconnected through the secondary interconnection interface to construct the interconnection network, and data is interacted on the interconnection network through the secondary interconnection interface. By adopting the technical scheme, resource adaptation of different application loads can be realized through hardware IO virtualization, and the performance of the cloud server is ensured to the maximum extent.

The invention discloses a method for realizing interaction with an all-station network of a television station based on an interface service of a media cloud Platform-as-a-Service layer. The method isrealized through interaction of a private cloud and an ESB and an EMB of the all-station network, and butt joint of the PaaS layer of the private cloud and a main platform of the ESB and the EMB of the all-station network; a business integration service port of the PaaS layer is in communication with the ESB (Enterprise Service Bus) of the main platform of the all-station network to initiate processes such as broadcast, medium asset filing and the like; a resource adaptation service port of the PaaS layer is used for acquiring files in the private cloud; and a layer public service capabilityport of the PaaS is matched with the EMB (Enterprise Media Bus) of the main platform to complete file transmission. The method is realized through butt joint of the PaaS layer of the private cloud andthe main platform of the ESB and the EMB of the all-station network, so that an nas storage of the private cloud and the main platform of the all-station network are connected, and a private cloud 55network segment and the main platform are connected; and a network link of the main platform of the all-station network and the private cloud is open, and the interaction can be forwarded through a core switch of a backbone network.

The invention discloses a video data resource adaptation method and a system thereof. The method comprises the steps of obtaining a video data request which is coded according to the HTTP protocol and input by a user-side, analyzing the video data request coded according to the HTTP protocol, identifying adaptation information carried in the video data request coded according to the HTTP protocol, converting the adaptation information into port parameters of a local inverted searching engine, and calling the local inverted searching engine for adaptation. The method and the system can accurately analyze the access request of video data resources of the user-side so as to meet user requirements.

The invention discloses a multi-beam satellite beam resource adaptation method based on service demand prediction, and relates to the field of multi-beam satellite communication, and the method specifically comprises the steps: firstly, for a downlink data transmission scene of a high-orbit multi-beam satellite co-frequency network, obtaining simulation flow data under a coverage area of each beam satellite through building a flow simulation model; training a hidden state Markov model to obtain model parameters, and predicting a service flow demand value of each beam at the next moment; and then, collecting each beam flow prediction value output by using the hidden state Markov model at different dates and moments, training a deep reinforcement learning PPO network model, outputting a bandwidth and power joint optimization value of each beam, allocating bandwidth resource blocks with different numbers and center frequencies and power resource blocks with different levels for each beam, and realizing multi-beam satellite beam resource adaptation. According to the invention, same-frequency interference is effectively reduced, beam service requirements and a fairness principle are met, resource waste is reduced, and the resource utilization rate is improved.

The invention provides a network security collaborative linkage system. A security resource interface module supplies transmission interfaces to a plurality of security resources to facilitate file transmission between the collaborative linkage system and the security resources; a security resource adaptation module converts security events information supplied by the corresponding security resources into a standard format of the collaborative linkage system from a specific format; and a collaborative linkage engine module performs association analysis and exploration on security events supplied by the security resources according to a collaborative linkage demand so as to acquire more valuable information. The system has the collaborative analysis and linkage control capacity to the network security resources complying with collaborative interfaces and has higher uniformity; and different network security resources can be added into the collaborative linkage system quickly and conveniently through corresponding special security adaptation modules, therefore the better expandability is achieved.

The invention relates to a data de-tilting method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the scattering of a data subset corresponding to a key with a relatively large data size, and scattering the data subset into different tasks, finally, distributing different tasks corresponding to different keys of batch data to a plurality of computing nodes in a relatively balanced manner to be executed so as to realize task configuration (such as configuration as one task or scattering into a plurality of tasks) and computing resource adaptation on the keys based on the data volume of the data corresponding to the keys; and in other aspects, the large-data-volume data corresponding to the keys are scattered, so that large-data-volume tasks do not exist any more, the processing amount of the tasks distributed on each computing node is relatively balanced, data de-inclination is realized, resources of equipment can be fully utilized to perform data computing. The calculation time consumption of the whole task of the batch data is reduced, and the single-point calculation problem caused by data skew is avoided.

The invention discloses a cloud media server system. The cloud media server system comprises a cloud media management platform and a cloud media resource pool, wherein the cloud media management platform comprises a service management module, a resource management module, an operation management module and a cloud media resource adaptation layer module; the service management module is applied to service catalogue management, service instance management, user management and portal management; the resource management module is applied to asset management, resource encapsulation, resource monitoring, resource scheduling, template management and application management; the operation management module comprises report management, charging management, maintenance management, system management and external interface management; and the cloud media resource adaptation layer module is used for finishing data interaction and virtual management based on a virtual platform and the cloud media resource pool. The cloud media server system has the advantages of ultrahigh parallel computing capability, highly-flexible expandability and accurate charging measurement; the platform resource service capability can be brought into full play; and the network operation cost of services can be lowered.

The invention relates to an intellectual property resource operation management system. The system comprises a cloud media management platform and a cloud media resource pool, wherein the cloud mediamanagement platform comprises a service management module, a resource management module, an operation management module and a cloud media resource adaptation layer module; the service management module is used for service directory management, service instance management, user management and portal management; the resource management module is used for asset management, resource encapsulation, resource monitoring, resource scheduling, template management and application management; the operation management module comprises report management, billing management, maintenance management, system management and external interface management; the cloud media resource adaptation layer module is used for completing data interaction and virtualization management based on a virtual platform and thecloud media resource pool. The intellectual property resource operation management system has the advantages that the parallel computing capability is super-strong, the scalable type is highly-flexible, the billing metric is accurate, the platform resource business capability can be exerted maximally, and the network operation cost of the business is reduced.

The invention discloses a data acquisition terminal resource adaptation method based on edge computing. The method comprises the following steps: S1, establishing a task model of cloud edge cooperation; S2, analyzing task execution delay of each node in the task model and data transmission delay among the nodes; and S3, adopting different calculation task unloading strategies according to calculation tasks with different delay limits initiated by the terminal. According to the method, a task scheduling algorithm is deployed at an edge server end in a manner of cooperative processing of the cloud computing center and the edge nodes, and different computing task unloading strategies are adopted for computing tasks with different delay limits initiated by the terminal, so that shorter computing and transmission delay is obtained, so the timeliness of the auxiliary decision-making task in the pumped storage power station is improved.

The invention provides an advertisement resource adaptation method and device, computer equipment and a storage medium, and relates to the technical field of multimedia communication, and the method comprises the steps: reading the advertisement type configuration of a target advertiser end from a preset database when a target advertisement request sent by a user terminal is received; if it is identified that the target advertisement main end does not support the target advertisement type, a target advertisement template is adapted from the preset hash table based on the target advertisement request, and then the target advertisement template is obtained based on the standard template material specification in the target advertisement template; packaging the target advertisement request into a native advertisement request matched with the advertisement type configuration of the target advertiser end, and when a native advertisement resource returned by the target advertiser end according to the native advertisement request is received, converting the native advertisement resource into a target advertisement resource of a target advertisement type based on a target advertisement template, and for the advertiser not supporting the target advertisement type, the target advertisement resource can be returned in response to the target advertisement request, so that the application range is expanded.