160 results about "Web resource" patented technology

A method, apparatus and computer program product to protect network resources against attacks. The technique, referred to herein as a Proof of Work, Space and Time (POWST), prevents large scale attacks by making them computationally and resource-intensive, thus increasing the cost of launching such attacks so as to make them cost-prohibitive. More specifically, the approach herein leverages a Euler function to implement a challenge that involves both proof of work and time, as well as proof of space. This challenge is configured to not only consume CPU cycles, but also does so for a required duration (a “challenge duration”) while simultaneously consuming memory (RAM) space (a “challenge space”) on the attacking machine.

Aspects of the subject disclosure may include, for example, obtaining data pertaining to a plurality of user equipment and a plurality of network resources, analyzing the data to identify that a first user equipment included in the plurality of user equipment is a reduced capability device, based on the analyzing, allocating first network resources included in the plurality of network resources to the first user equipment, resulting in a first allocation, and based on the analyzing, allocating second network resources included in the plurality of network resources to a second user equipment included in the plurality of user equipment, resulting in a second allocation. Other embodiments are disclosed.

This invention provides a method and system for detecting fluctuations in large-scale networks. The method includes: acquiring all IP addresses of the target network to construct an IP address probe set and a prefix set; grouping all probes according to multiple preset geographical areas to form multiple probe groups; for each prefix set in the target network, calculating the distance from each prefix set to a candidate probe group using a distance metric algorithm, and selecting the nearest probe group; establishing an activity evaluation model for all prefix sets in the target network, including an active prefix list, an inactive prefix list, and the activity level of each prefix set; dynamically adjusting the detection strategy for each prefix set in the current round based on the results of the previous round of detection; updating the activity status of all prefix sets in each round of detection in real time; and statistically analyzing the changes in the activity status of all prefix sets in the target network within a preset period to evaluate the fluctuation of the target network. This invention can reduce network resource consumption and the impact on surrounding networks.

This application provides a scheduling method, which includes: a scheduling system receiving a resource request or a service request; wherein the resource request or service request includes first resource information or first service information and demand information; wherein the demand information includes at least performance demand information and energy consumption demand information; responding to the resource request or service request, and determining a target node based on the first resource information or first service information, demand information, and node information; wherein the node information includes node performance information and node energy consumption information. This application differs from the traditional nearest-neighbor scheduling method by comprehensively considering the node's performance information and energy consumption information, thereby scheduling service requests to the optimal target node and improving the computational efficiency of network resources.

The application provides a virtual machine processing method, device and equipment for software testing tasks, and relates to the field of virtual machines.The method comprises the following steps: obtaining a software testing task list and a template testing virtual machine; configuring a resource package of at least one software testing task on the template testing virtual machine according to a plurality of software testing tasks in the software testing task list, to obtain a plurality of virtual machines; performing dependency processing on the plurality of software testing tasks currently being tested by the plurality of virtual machines respectively; determining the running state of the current virtual machine in the dependency processing of the software testing task by the resource package of at least one software testing task after the current virtual machine is started according to a start task; and destroying the current virtual machine and starting the next virtual machine according to the running state until the plurality of software testing tasks are tested.The scheme of the application realizes the automatic management of the whole running cycle of the virtual machine, and improves the efficiency of virtual machine management and the utilization rate of network resources.

The application provides a subprogram page processing method and device, equipment, storage medium and program product; the method comprises the following steps: loading a page processing service for a web view page to be rendered of a subprogram, the subprogram runs in a web application, and the domain name of the page processing service is different from the domain name of the web application; sending a resource acquisition request to a proxy service through the page processing service, the resource acquisition request instructs the proxy service to acquire web resources carried by the web view page from a resource service and return the web resources; receiving the web resources returned by the proxy service for the resource acquisition request; and rendering the web view page based on the web resources through the page processing service. Through the application, the safety of the web application can be ensured, and the rendering and running of the web view page of the subprogram in the web application can be realized.

The application provides a power deterministic network routing and packet scheduling method and system, the method comprising: determining the feasible path set from the source to the destination node for each deterministic flow according to the network and traffic model; constructing the three-dimensional scheduling variable consisting of the path, time offset and CSQF period specification set for each flow; jointly solving the three-dimensional variable of each flow to obtain the routing and packet scheduling scheme satisfying the resource, sending, delay and period constraint with the minimum objective function, the objective function being used to realize the double load balancing of the link and period window; and calculating the network remaining resource based on the obtained scheme and allocating the transmission resource for the non-deterministic flow according to the network remaining resource. Through the three-dimensional joint scheduling of the routing, time and period and the double load balancing of the link and window, the application can significantly reduce the jitter under the strict delay constraint, effectively improve the network resource utilization and the reliability of the deterministic service.

This application relates to the field of network switching technology, and in particular to a network resource scheduling method based on a binary moth optimization algorithm. The method includes the following steps: generating a service requirement model, initializing the number of moths, and defining a service fitness function; calculating an initial moth path matrix and an initial flame matrix; iteratively optimizing the initial moth path matrix and flame matrix from the initial moth path matrix and initial flame matrix until a preset iteration termination condition is met, wherein in each iteration, the service fitness matrix of the current round of moths and flames is calculated and flame attenuation is performed; updating the flame positions in the flame matrix based on the updated moth paths; and selecting the optimal path from the final flame matrix as the service forwarding path. This invention solves the problem that existing technologies cannot cope with complex and dynamically changing QoS requirements, and has the characteristics of being data-independent and having low computational resource requirements.

The application provides a communication method, device and equipment and a storage medium. The method comprises the following steps: a network device sends a training time delay constraint instruction to a terminal device participating in federated learning; the terminal device receives the training time delay constraint instruction from the network device; and the training time delay constraint instruction is used to indicate the reporting deadline of a model training result. Since the network device can send the training time delay constraint instruction to the terminal device participating in the federated learning, the training time delay constraint instruction is used to indicate the reporting deadline of the model training result, so that in the case that there are two or more terminal devices participating in the federated learning, different terminal devices can upload the model training result according to the training time delay constraint instruction, so as to reduce the time difference of the model training result uploaded by different terminal devices participating in the federated learning, thereby ensuring the overall training time delay of the federated learning, reducing the possibility of late reporting of the terminal device, and helping to reduce the waste of network resources.

This invention discloses a power distribution IoT communication and equipment management system based on dynamic optimization algorithms. It adopts a four-layer architecture: a perception layer, an edge layer, a platform layer, and an application layer. The end devices in the perception layer are used to collect power distribution data and execute control commands. The edge devices in the edge layer, and their managed sub-devices, are used for protocol conversion, data preprocessing, and executing dynamic optimization algorithms. The platform layer is used for message parsing, algorithm optimization, device management, and data storage. The application layer provides a visual user interface. Through dynamic optimization algorithms and a full lifecycle device management scheme, the system significantly improves the reliability of power distribution IoT data transmission, optimizes network resource utilization, enhances equipment operating efficiency, ensures the real-time performance of critical services, and features strong compatibility, security, and concurrent processing capabilities.

This application proposes a network resource management method, system, storage medium, and product based on SDN networks. The method includes: after a cloud host starts up, determining whether a shutdown command for the cloud host is received; if a shutdown command for the cloud host is received, releasing the network resources allocated to the cloud host, and performing a shutdown operation on the cloud host after the release is completed; thus, it is possible to avoid the cloud host continuously occupying limited network resources in a shutdown state, thereby improving the utilization rate of network resources.

According to embodiments of the present disclosure, a method, device, equipment and storage medium for identifying an automated access attack for a firewall are provided. The method comprises: determining a plurality of access requests for a network resource based on log information of the network resource, the plurality of access requests respectively comprising information in a plurality of dimensions; dividing the plurality of access requests into a plurality of groups of access requests based on correlation degrees of the plurality of access requests in at least one of the plurality of dimensions; determining a plurality of integrated behavior sequences respectively corresponding to the plurality of groups of access requests based on access times of each group of access requests in the plurality of groups of access requests; determining at least one completed behavior sequence respectively corresponding to at least one access entity by performing behavior completion on at least one integrated behavior sequence in the plurality of integrated behavior sequences; and identifying an automated access attacker in the at least one access entity based on the at least one completed behavior sequence.

The embodiment of the present application provides a method and device for feasibility evaluation, which introduces at least one of the following information when the control device sends the first information for requesting the execution device to perform the feasibility evaluation on the first network demand information: the reservation demand information of the network resource corresponding to the first network demand information, the information feedback demand information of the network resource corresponding to the first network demand information, and the modification suggestion feedback demand information of the first network demand information. Through the above method, the operator can reserve the required network resource, feed back the network resource of the service demand and provide the change suggestion for the service demand while performing the feasibility evaluation on the service quality, so that the application scenario of the feasibility evaluation is effectively widened, the success rate of the service issuing is further improved, and the service deployment time is reduced.

This invention relates to the field of network security technology, specifically a method, system, device, and storage medium for detecting and assessing isolated web resources based on natural language. The method uses a semantic task conversion mechanism to parse the natural language detection requirements of operations and maintenance personnel into structured task instructions, initiating a multi-source detection fusion strategy to scan the target website. This multi-source detection strategy includes access log tracing, website link structure detection, and content semantic association. Cross-validation is used to identify sets of suspected isolated resources. An evolutionary trend prediction model is established, collecting historical page behavior data to predict state transition trends, and using the prediction results as a preliminary warning for isolation determination. A layered confirmation mechanism performs dual verification of suspected isolated resources at both the structural and semantic levels, outputting a list of isolated resources.

The application particularly relates to a large model-based home guest network industry collaborative planning and decision method. The large model-based home guest network industry collaborative planning and decision method collects network data, business data and customer data of a home guest network, integrates the data into a unified data warehouse after preprocessing, and establishes an association relationship; demand and target of planning and decision are self-defined, current real-time data are input into a large model after preprocessing for inference calculation to generate a plurality of candidate schemes; an optimal scheme is determined through comprehensive evaluation, the scheme is decomposed into specific implementation tasks, an implementation plan is formulated, and resources are allocated for implementation. The large model-based home guest network industry collaborative planning and decision method realizes accurate matching of network resources and business development, improves operation efficiency and service quality of the home guest network, reduces operation cost of the enterprise, enhances core competitiveness of the enterprise in the market, and provides more high-quality and more personalized network service and business experience for home guest users.

This application provides a robust scheduling and dynamic supply-demand matching method for multi-agent air-rail intermodal transport, comprising: obtaining aircraft timetables, train timetables, aircraft capacity, train capacity, and their respective maintenance window information from a preset database; obtaining an initial set of fixed binding candidate pairs by comparing the time overlap interval with the capacity ratio; incorporating fixed binding pairs and semi-fixed binding pairs into a cross-network resource view; generating a complete binding relationship set based on the automatic generation rules of baggage direct-check tags for fixed binding pairs and the requirements of backup connecting vehicle scheduling channels for semi-fixed binding pairs; extracting the real-time inventory synchronization lock status of aircraft and train ticketing systems and the capacity ratio matching status from the complete binding relationship set; and determining whether service continuity is met by analyzing the inventory linkage release and fine-tuning results under a disturbance simulation scenario.

The present disclosure relates to a method and a system for handling resource constraints in a network The method comprises receiving, by a transceiver unit [302], an instantiation event associated with a Network Function (NF) from an Inventory Manager (IM). Further, the method comprises generating, by a processing unit [304], a create task event based on the instantiation event. The method further comprises transmitting, by the transceiver unit [302], the create task event to a scheduler service. Further, the method comprises receiving, by the transceiver unit [302], a termination event associated with the NF, from the IM. Furthermore, the method comprises transmitting, by the transceiver unit [302], a delete task event based on the termination event, to the scheduler service. Thereafter, the method comprises halting, by the processing unit [304], a job associated with the create task event, based on the delete task event.

A method, apparatus and computer program product to protect network resources against attacks. The technique, referred to herein as a Proof of Work, Space and Time (POWST), prevents large scale attacks by making them computationally and resourceintensive, thus increasing the cost of launching such attacks so as to make them costprohibitive. More specifically, the approach herein leverages a Euler function to implement a challenge that involves both proof of work and time, as well as proof of space. This challenge is configured to not only consume CPU cycles, but also does so for a required duration (a "challenge duration") while simultaneously consuming memory (RAM) space (a "challenge space") on the attacking machine.

The present disclosure provides a user-intention-based service function chain (SFC) rearrangement method and device and related equipment, and relates to the technical field of intention networks. The method comprises: obtaining intention service information input by a target user, wherein the intention service information comprises at least one user service requested by the target user and a prerequisite condition required for providing each user service; converting the intention service information into executable SFC information; and rearranging the SFC information according to a pre-constructed prerequisite condition relationship library, a service relationship library and a current network resource allocation of each user service. The present disclosure can flexibly arrange user services according to whether the network resources meet the prerequisite conditions of the user services, the relevance of the prerequisite conditions and the dependency of the user services, so that the user services can be provided more flexibly, and human intervention is not required, so that the services are more intelligent and efficient.

A testing platform is described for testing new cellular network components. The testing platform is vendor-agnostic and application programming interface (API) driven. A user interface layer is provided by which a user can at least define a test campaign (including a device under test (DUT) and test parameters), trigger a test, and obtain test results. An orchestration layer can use the test campaign information to provision network resources of a laboratory end-to-end cellular network (LEEN), to interface with one or more vendor test engines (VTEs) to deploy and test the DUT in the LEEN, and to generate test results and publish the results to the user via the user interface layer. The orchestration layer interfaces with the VTEs using vendor-specific APIs.

Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework for deterministically identifying and extracting content from network resources, and generating focused content based therefrom for delivery to electronic users. The framework enables real-time customization of extraction tasks, which can cause tailored, accurate results that are contextually relevant and tied into the purpose of the extraction task. This data can then be compiled and / or leveraged to generate content campaigns that can target specific sets of users, geographies, time periods, trends and the like. The framework can leverage a large language model (LLM) to seamlessly extract relevant information from network resources, which enables the generation and execution of extraction requests that can be dynamically executed and updated, which can enable the framework to “drill-down” on contextual and / or topical aspects of categories of data.

This application discloses a method and system for dynamic mapping and scheduling of network resources based on identity resolution, relating to the field of computer network technology. The method includes: acquiring request information of the task to be scheduled, multi-source identity signals, resource node status, overall network load status, and service preference information; fusing and parsing the multi-source identity signals to construct a cross-domain unified identity identifier and generate an identity attribute vector; then, combining computing resource status, network link status, and service preferences, calculating the identity adaptability between the unified identity identifier and each resource node to generate a candidate resource node list; finally, making dynamic scheduling decisions based on overall network load and link status to determine the target resource node and its corresponding network path, and issuing network configuration rules and resource scheduling instructions. This achieves collaborative perception and dynamic matching of identity, network, and computing resources, improving the accuracy, real-time performance, and service adaptability of cross-domain resource scheduling.

Systems and methods are provided for validating client information prior to certificate issuance. A method, according to one implementation, includes a step of displaying client information submitted by a client on a home screen of a user interface being operated by a validation agent responsible for executing a validation job for the client. Also, the method includes a step of displaying a validation sources tab on the home screen. In response to selection of the validation sources tab, the method also includes displaying links to vetted web sources from which data can be obtained to assist the validation agent with executing the validation job.

The application discloses an Internet of Things mass service bill processing system, method and device and a storage medium, and comprises an application software service layer, a platform environment service layer and an infrastructure service layer.The application software service layer is used for collecting first service bills, and performing format analysis, deduplication, merging and distribution processing on the first service bills to obtain first bill files and first bill messages, and then uploading the first bill files and the first bill messages.The platform environment service layer is deployed with a distributed file system, a distributed coordination service, a data database and a streaming processing framework, is used for receiving the first bill files and the first bill messages, and performing full-amount synchronization on the data database according to the first bill files and incremental synchronization on the data database according to the first bill messages.The infrastructure service layer comprises a bottom cloud host, and is used for providing a computing resource pool, a storage resource pool and a network resource pool.The application improves the processing efficiency of service bills, optimizes the use perception of users, and can be widely applied to the technical field of data processing.

This invention discloses a dynamic perception and AI task scheduling optimization system for CDN edge computing resources, specifically relating to the fields of edge computing and distributed task scheduling. It addresses the problems of existing CDN systems struggling to accurately perceive node computing power status, failing to characterize task execution uncertainty, and easily generating forwarding loops between multiple nodes when processing AI tasks. By constructing a task execution time probability model and combining it with clock compensation to achieve cross-node time alignment, idle time parameters are calculated based on queue status and task arrival rate. Furthermore, a cumulative forwarding probability graph is introduced, and a graph neural network is used to assess task loop risk. Scheduling decisions are made by combining the risk assessment results with idle time parameters, enabling adaptive selection between local task execution and forwarding by neighboring nodes. This improves edge computing power utilization, task execution efficiency, and system operational stability, while effectively reducing task forwarding latency and network resource consumption.

The application provides a multi-source heterogeneous resource intelligent adaptation webpage generation method, system, device and medium, and belongs to the technical field of computers. The method comprises the following steps: in response to a user login operation, obtaining user login information and displaying a theme selection interface, wherein a plurality of selection controls corresponding to a plurality of learning themes are arranged on the theme selection interface; in response to a user operation on any selection control, matching and screening in a preset hyperlink information library according to the user login information and the learning theme corresponding to any selection control, to obtain all target hyperlink information, wherein each target hyperlink information points to a specific type of network resource; and generating a learning webpage of the user according to all the target hyperlink information. The application can realize accurate and personalized pushing of resources, and is beneficial to improving the learning efficiency of the user.

Resource role discovery and alignment includes searching, with a search engine, one or more enterprise data sources for digital data pertaining to an enterprise resource. A resource-specific digital footprint is generated based on the digital data. Based on the digital footprint, a prediction distance between the digital footprint and a predetermined resource taxonomy is generated by a multipart machine learning model. The prediction distance is transmitted to a networked resource control platform. A resource alignment recommendation is transmitted to the networked resource control platform in response to the prediction distance exceeding a predetermined threshold. The resource alignment recommendation recommends revising a resource designation previously assigned to the enterprise resource.

The application discloses a network resource path matching method and device and a vehicle networking system, and relates to the technical field of network resource path matching.The method comprises the following steps: acquiring a path set allowed to access; calculating the hash values of all elements in the path set allowed to access and storing the hash values in a hash table structure; receiving a request path sent by a client; splitting and reorganizing the received request path according to levels to obtain a path set to be matched; calculating the hash values of each data item in the path set to be matched to obtain corresponding hash values; sequentially using the hash values of each data item in the path set to be matched to perform hash lookup in the hash table; when a data item is successfully looked up, responding to the request; and if all data items are unsuccessfully looked up, rejecting the request.The application adopts hash table lookup, does not need to sequentially traverse and match the path set allowed to access, reduces resource consumption of matching and the number of matching times, and greatly improves matching efficiency.

A network scheduling method for allocating network resources for communication between multiple connected nodes in a network is performed as follows: Multiple requests for network resources are received, each request pertaining to a connection from one of the multiple nodes acting as a source node to another of the multiple nodes acting as a destination node. An upcoming time round is considered, which is a network reconfiguration cycle time, divided into T time slots, where a time slot is the shortest period during which communication circuits in the network remain active for communication. Multiple request windows are selected from the received requests for processing; each window includes up to T requests per source node. For the selected requests for processing, multiple arbitration phases are sequentially applied in different resource domains to identify competing requests in different domains. For each arbitration phase, (i) if a request is not competing, it is indicated that the request awaits potential permission, and (ii) if there is competition between requests, one request is selected to await potential permission and the other competing requests are indicated as failed. Within each window, the requests are looped through to retry failed requests in other time slots. After round-robin and repeated arbitration: all remaining requests indicated as potentially pending permission are granted, including outputting permission information to the source node at each time slot iteration and outputting network resource configuration information for granted requests at each cycle. Any remaining requests indicated as "failed requests" are cached in a buffer for reconsideration in another cycle.