494 results about "Request–response" patented technology

The invention provides an information resource distribution method and system applied to a dynamic network environment, and the method comprises the steps: firstly obtaining a real-time state feature set of a target distribution network, determining a resource distribution constraint condition set in a current network environment based on the real-time state feature set, carrying out the priority analysis of a real-time resource request sequence of a target user group, and obtaining a real-time resource distribution constraint condition set; obtaining resource timeliness grade distribution and a request path optimization feature set, generating a dynamic distribution strategy parameter set matched with a resource distribution constraint condition, triggering a resource redirection operation, and enabling the resource request response rate of the target user group to be improved to a preset threshold interval; and the information resource distribution efficiency and stability in the dynamic network are improved.

Disclosed in the present application are a task-type dialogue response method and apparatus. The method comprises: acquiring basic dialogue information of a task-type dialogue, wherein the basic dialogue information at least comprises: intent information of the current round of request, and historical dialogue information; using a dialogue state large language model to analyze the basic dialogue information, so as to obtain a target dialogue policy request based on a domain-specific language; using a dialogue policy loader to load a target dialogue policy sample corresponding to the target dialogue policy request; using a dialogue policy large language model to analyze the target dialogue policy sample, so as to obtain a target dialogue generation policy; and using an engineered-dialogue generation module to execute the target dialogue generation policy, so as to obtain request response information, and outputting the request response information. The present application solves the technical problems in the related art of the capability of processing a multi-round task-type dialogue by means of a dialogue system being relatively poor and the user experience being poor.

The invention discloses a direct memory access (DMA) communication device for a computing network convergence computing architecture and a working method of the DMA communication device. The DMA communication device comprises a DMA transaction processing module and a protocol conversion module; the DMA transaction processing module is used for analyzing related DMA read-write requests, realizing processing of the DMA read-write requests and receiving of response data of the DMA read requests and completing processing of interrupt requests at the same time, and the protocol conversion module is used for completing conversion of read-write requests between a DMA interface and an AXI interface and mapping of response states. The invention aims to realize efficient protocol conversion between AXI and DMA interfaces, avoid the problem of DMA read request starvation caused by resource competition and ensure the consistency of DMA data access so as to improve the performance of an accelerator in high-performance calculation and artificial intelligence application, reduce transmission delay and improve data transmission bandwidth and energy efficiency.

An architecture for parallel execution of two separate generative output requests (1) a compliance request and (2) a feature request. The compliance request prompts a generative output engine to review context provided in respect of the feature request for adherence to specified policies and returns a Boolean value embedded within a specified structured format indicating compliance or noncompliance. Both requests are executed simultaneously, with the feature request response buffered until compliance is verified. If noncompliance is detected, the feature request response is discarded, and the user is notified. Alternatively, if compliance is detected, the feature request response is provided as output to the user.

The present application relates to the technical field of speech recognition, and discloses a speech dialogue method and system, an electronic device, and a storage medium. The method of the present application comprises: in response to a speech audio stream of a first preset duration, generating a first streaming recognition result; obtaining a prediction result of a user speech request on the basis of the first streaming recognition result, obtaining a pre-request response result on the basis of the prediction result, and caching the pre-request response result; and in response to a speech audio stream of a second preset duration, acquiring the cached pre-request response result as a dialogue response result, the speech audio stream of the first preset duration corresponding to the incomplete user voice request, and the speech audio stream of the second preset duration corresponding to the complete user voice request. The speech dialogue method disclosed in the present application is a new and more efficient response acceleration scheme for a speech dialogue system, and can effectively improve the response speed of the speech dialogue system.

The invention relates to the technical field of data processing, in particular to a distributed photovoltaic power supply method and system based on big data interconnection, and the method comprises the following steps: collecting photovoltaic node time sequence data, recognizing trend turning and abrupt change positions, positioning a trend synchronization point and a time migration range, extracting and sorting resource repetition requests, and recognizing common time abrupt change nodes. And screening the replacement channel, and outputting a path change list. According to the method, a behavior change sequence is constructed through a node change trend and a mutation amplitude, a sequence structure is constructed by combining direction consistency and an offset range to calibrate a time sequence difference, request intensity and time to express a resource concentration feature, continuous mutation time points are extracted, and a time-sharing node group is positioned in a cross manner; the method combines path load screening to replace channels and adjust the path sequence, and achieves the effects of realizing node behavior identification precision, resource request response ordering, time-sharing event positioning high efficiency and path scheduling adaptation dynamic, and improving the response capability and power supply coordination in a multi-node change scene.

A method for microservice authentication includes intercepting, at a first policy engine sidecar of a first microservice, a service request from the first microservice to a second microservice. The service request includes services requested from the second microservice. The method includes generating a transaction challenge, transmitting the service request, a first token identifying the first microservice, and the transaction challenge to the second microservice, and intercepting a service request response from the second microservice to the first microservice. The method includes determining whether the service request response includes a second token identifying the second microservice and a transaction challenge response generated by a second policy engine sidecar of the second microservice, and transmitting the service request response to the first microservice in response to determining the second token identifies the second microservice and determining that the transaction challenge response includes an acceptable transaction challenge response.

The invention provides a cold start acceleration method and device, electronic equipment and a medium, which can be widely applied to the technical field of computers, and the cold start acceleration method comprises the following steps: obtaining call information of a target function, and preprocessing the call information to obtain call characteristics; inputting the calling features into an online preheating model, predicting a function calling interval through a first preheating module in the online preheating model to obtain predicted calling time, and predicting the number of containers required for calling through a second preheating module in the online preheating model to obtain the number of predicted containers; determining a prediction decision according to the prediction calling time and the prediction container number; and deploying the containers according to the prediction decision, and creating a first number of preheated containers before the prediction call time to cope with a call request of the target function. The problem of request response delay caused by cold start in related technologies can be relieved, the request response speed is increased, and the user experience is improved.

The invention provides a collaborative wakeup method and device, equipment and a storage medium, and belongs to the technical field of communication. The collaborative wake-up method comprises the steps that the terminal equipment is connected to a collaborative wake-up network; a terminal device sends a collaborative wake-up request message to a network device in a collaborative wake-up network, wherein the collaborative wake-up request message is used for requesting collaborative wake-up with other devices in the collaborative wake-up network; the terminal device receives a collaborative wake-up request response message sent by the network device, wherein the collaborative wake-up request response message carries a unified wake-up word; the terminal equipment generates voice prompt information based on the unified wake-up word and plays the voice prompt information, and the voice prompt information is used for prompting a user to wake up the terminal equipment through the unified wake-up word; and under the condition that the terminal equipment receives the wake-up instruction sent by the network equipment, executing a pickup operation. According to the method, the terminal equipment of different brands can be awakened through the unified awakening word, and the voice awakening interaction experience of the user is improved.

The invention provides a task request response method and device, electronic equipment, a storage medium and a program. A specific embodiment of the method comprises the following steps: in response to a received task request, determining at least one subtask corresponding to the task request; searching a target service correspondingly matched with each sub-task from the plurality of services; verifying whether the task request has a security authority corresponding to execution of each sub-task; and in response to determining that the security authority for executing any subtask exists, calling and executing a corresponding matched target service to respond to the task request. According to the embodiment, the received task can be intelligently processed.

The invention discloses an intelligent crawler security acquisition method and system based on dynamic feature recognition. The system comprises a URL manager, a scheduler, an analyzer, a downloader and a data memory. The URL manager is used for adding and maintaining a to-be-crawled URL set and a crawled URL set to realize URL duplicate removal; the scheduler is used for coordinating and distributing downloading tasks; the analyzer is used for analyzing page types, structures and request response characteristics of a target website, automatically adjusting crawling parameters, optimizing page access frequency, automatically verifying verification codes, analyzing page depth and verifying crawling contents in a compliance manner; the downloader is used for simulating user behaviors to download pages; the data memory is used for storing data. The method has the advantages that dynamic adjustment of crawling parameters, self-adaption of access frequency, automatic processing of verification codes, anthropomorphic crawling process, controllable depth of crawled pages and compliance of crawled contents are completed by using a dynamic feature recognition method, and self-adaption, high efficiency and safety of a network data acquisition process are realized.

The invention discloses a request processing method of a multi-core processor, the multi-core processor, a product and a server, and relates to the technical field of multi-core processors. In the method, a main node queries a directory according to a request and obtains a query result, and based on the query result, different request response strategies are adopted to respond to the request. According to the method, the consistency of the shared caches in the non-inclusion relation is maintained in a directory mode, the utilization rate of the shared caches is increased, and the chip area occupied by the caches is reduced under the condition that the cache capacity is fixed; secondly, based on the shared cache architecture of the non-inclusion relationship, the data is allowed to be stored in the private cache and the shared cache at the same time, so that the problem of excessive data exchange caused by cache position exchange in an exclusive architecture can be avoided, meanwhile, the private cache is allowed to reserve the data which does not exist in the shared cache, and the problem of reverse failure in an inclusion mode is avoided. According to the method, the utilization rate of the shared cache is improved, and the data exchange amount and the maintenance cost of cache consistency are reduced.

The invention provides a request response method and device, equipment, a medium and a product, can be applied to the technical field of big data and the technical field of computers, and comprises the following steps: in response to a received data reading request, determining a target node set according to node states of a plurality of reading nodes in a server cluster and priorities of the reading nodes, the priority is determined according to a matching relationship between a request address of the data reading request and an operation address of each sub-cluster in the server cluster; according to the weight of each read node in the target node set, multiple accumulative weight intervals are determined, and the weights are obtained based on hardware configuration and performance data evaluation of the read nodes; matching a random value generated in the cumulative weight interval with each cumulative weight interval to determine a target weight interval corresponding to the random value; and executing a data reading operation by using a reading node corresponding to the target weight interval in the target node set.

The embodiment of the invention provides a task scheduling method, and relates to the field of industrial cloud computing, industrial cloud platforms and industrial internet platforms, the task scheduling method comprises the following steps: receiving resource data reported by each computing node, the resource data comprising cache information of a model; taking out the to-be-allocated task from the task queue, and determining a target model corresponding to the to-be-allocated task; determining a target computing node based on the target model and the resource data; and distributing the to-be-distributed task to the target computing node. According to the technical scheme of the embodiment of the invention, the problems that the container needs to be restarted and the model needs to be downloaded repeatedly during each request can be avoided, the resource utilization efficiency and the request response speed are improved, and the user experience is effectively improved.

A method, performed by a first Session Management Function (SMF), for providing a continuous service to a user equipment (UE) includes: identifying, by the first SMF, triggering of an SMF change operation; transmitting, to an Access and Mobility Management Function (AMF), a message indicating a change in a status of a Packet Data Unit (PDU) session of the UE so as to request a procedure of changing an SMF; receiving a context request message requesting a context of the UE from a second SMF that is a target SMF; and transmitting a context request response message to the second SMF.

A request-response based paravirtualized I / O system and method relating to the fields of virtualization and cloud computing includes a request-response application, a front-end drive module and a back-end drive module. The front-end drive module and the back-end drive module interact by means of a transmit queue and a receive queue. The request-response application generates an I / O request, and the front-end drive module writes the I / O request into the transmit queue. The system has two operating modes: a notification mode and a polling mode. The system operates by default in the notification mode. When the request-response application issues a connection establishment or service request, the system switches to the polling mode. This system and method introduce an optimistic polling mechanism, combine the advantages of the notification mode and the polling mode, reduce the number of VM exits and decrease wasting of computing resources, thus improving data path performance.

The invention discloses a request batch processing method and electronic equipment, and relates to the technical field of computers. When a batch processing object meets a first batch processing optimization condition, the current comprehensive error of the batch processing object is determined according to the performance requirement of the batch processing object in the current application scene and the current actual performance; when a first batch processing optimization condition is satisfied, carrying out first adjustment on the size of the current batch to obtain a first target batch size, and when a second batch processing optimization condition is satisfied, carrying out second adjustment on the size of the current batch according to the length change information of the request waiting queue to obtain a second target batch size; and finally, performing batch processing on the to-be-processed request according to the first target batch size or the second target batch size. The size of the current batch is adjusted according to the performance requirement of the application scene and the current actual performance expression or the length change information of the request waiting queue, so that the size of the target batch can adapt to the current application scene and the dynamically changing load, and the waste of hardware resources and the increase of user request response delay are avoided.

The invention relates to the technical field of computers, in particular to a query request response method and device, equipment and a storage medium, which are applied to query response for data resources in an enterprise, and the query request response method comprises the following steps: obtaining a query request input by a user, and performing intention understanding and context analysis on the query request; generating an intention analysis result containing the query semantics, the task type and the preliminary subtask disassembly result; generating an agent scheduling instruction based on the intention analysis result; the Agent scheduling instruction is used for calling at least one sub-Agent in a data query Agent, an attribution analysis Agent or an intelligent decision Agent; according to the Agent scheduling instruction, the scheduled sub-Agents execute corresponding data query, root cause analysis or decision suggestion generation operation, and sub-Agent execution results are obtained; whether the sub-Agents need to be scheduled continuously or not is evaluated according to execution results of the sub-Agents, and when the sub-Agents need to be scheduled continuously, at least one Agent in the data query Agent, the attribution analysis Agent or the intelligent decision-making Agent is called circularly until task termination conditions are met, and an intelligent analysis report is obtained; and displaying the intelligent analysis report.

The invention discloses a K8s cluster large model reasoning GPU sharing adaptive dynamic scheduling method, belongs to the field of artificial intelligence, can adaptively configure GPU resources required by large model reasoning, and improves the correctness and use efficiency of GPU configuration in a cluster. According to the adaptive method, GPU resources in the cluster can be correctly configured according to the model type, the reasoning or accelerated reasoning mode, the model parameter quantity and the precision; in addition, the to-be-reasoned task quantity and the reasoning service state are detected in real time, a regression model is designed to predict request processing time according to the request length, the graphics card computing power, the graphics card utilization rate and historical request response time, and according to the regression model, when the request flow is too large or hardware fails, reasoning examples are additionally deployed, and the reasoning efficiency is improved. According to the method, the task processing throughput and the stability and reliability of the system are improved, and when the request quantity is sharply reduced, the deployment reasoning instances are reduced, so that GPU resources are saved, and the use efficiency of the GPU in the system is further improved.

The present application provides an access processing method, device, electronic device and computer-readable storage medium for a zero-trust network; it relates to the security field of cloud technology, and the method includes: receiving an access request sent by an application; obtaining the address of the business site that the application needs to access from the access request; based on the identification of the application and the address of the business site, querying the access control policy of the zero-trust network to obtain the access mode of the application accessing the business site; establishing a communication connection between the application and the business site based on the access mode and the zero-trust network; sending the access request to the business site through the communication connection, and sending the access request response of the business site to the application through the communication connection. Through this application, a flexible, stable and efficient access mode can be provided to applications through a zero-trust network.

The invention discloses a system cross-network deployment method and device based on an intranet penetration technology and a medium, and the method comprises the steps: deploying an intermediate proxy service on a public network server, and configuring a port mapping rule; deploying a penetrating agent client at an intranet server side, and establishing persistent encryption connection between the penetrating agent client and a public network server; receiving an external network request initiated by an external access device based on the intermediate proxy service, and mapping the external network request to a corresponding service port of an intranet server through a port mapping rule; and responding to an external network request through the intranet server side, and returning an encrypted request response result to the external access equipment through the intermediate proxy service.

The invention discloses a communication method and device in a local area network, equipment and a medium, relates to the technical field of communication, is applied to endpoint equipment, and comprises the following steps: generating a security certificate based on an excitation response pair selected from target security certificates provided by a server and a local second APUF circuit; the target security certificate is generated based on a first APUF circuit in the server; encrypting an own device identifier and a response value in the first security certificate by using a response value in the excitation response pair to obtain first encrypted information, and discarding the security certificate; adding an excitation value in the excitation response pair and the first encrypted information to a target request, and sending the target request to the server, so that the server decrypts the first encrypted information based on the first APUF circuit; acquiring second encrypted information sent by the server; the second encrypted information is information obtained by encrypting the request response result by using a response value in the security certificate; the security certificate is regenerated to decrypt the second encrypted information using the response value therein.

The invention discloses a batch task scheduling method and system, electronic equipment and a storage medium, and the method comprises the steps: receiving a task request, packaging the task request into a task event, and publishing the task event to an event message queue; determining that the event message queue has a to-be-processed task event and application instance resources in an idle state exist, and obtaining the task event and the application instance resources; and processing the task event according to the application instance resource. According to the method, the task request is packaged into the task event and cached into the event message queue, so that a system does not need to continuously monitor the task request in real time, the problem of resource waste caused by monitoring the task request in real time in the prior art is solved, and the resource utilization rate is improved; the task event is stored through the event message queue, asynchronous decoupling of the task request and the processing process is achieved, and then the concurrent request response rate and the task processing efficiency are improved.

The invention discloses an industrial robot master control system which comprises a robot hardware abstraction layer, a real-time control algorithm plug-in layer and a non-real-time request corresponding layer, non-blocking asynchronous communication between different modules is achieved through a shared memory, and the robot hardware abstraction layer is used for shielding hardware differences generated due to different robot types. The high reusability of the robot master controller is realized; the real-time control algorithm plug-in layer is used for realizing the separation of the real-time control algorithm layer and the hardware abstraction layer and realizing the overall control of the robot; and the non-real-time request response layer is used for realizing interaction and communication capabilities of the robot and an external function module. The invention also provides a plurality of standardized system development interfaces, so that the system can form a unified development specification, a communication specification and a development mode under software and hardware decoupling. The system architecture provided by the invention is easy to realize in an industrial robot system, the mobility, compatibility and stability of software are improved through modular design, and the system architecture has relatively high applicability.

Some embodiments control access by applications to resources in a computing environment. An embodiment notes a request from an application to access a resource, determines a compliance status of the application based on access control policy compliance criteria, ascertains an authorization status of the request based on an authorization credential of the request and an authorization requirement of the resource, and responds to the request based on the compliance status and also based on the authorization status, thereby providing fine-grained access control. Access may also be controlled based on a request's beneficiary. An access request response may allow access, deny access, or ask for additional authorization. A compliance classifier reduces risk by dynamically updating compliance status after compliance criteria changes or attribute changes. An identity service access control architecture uses a compliance attribute to improve efficiency. Applications may be access control grouped according to resource sensitivity labels.

A method for use by a computing device, comprising: receiving a bulk request for namespace information, the bulk request being a Non-Volatile Memory Express (NVMe) command that contains a Controller and Namespace Structure (CNS) code, the CNS code being arranged to indicate that the namespace information for multiple namespaces should be returned in response to the bulk request; identifying a plurality of namespaces, the plurality of namespaces being identified based on an offset value and a length value that are provided in the bulk request; transmitting a bulk request response that contains namespace descriptors for each of the plurality of namespaces.

The invention provides a synchronization signal processing method, electronic equipment and a computer readable storage medium, and the method comprises the steps: executing a first synchronization instruction by a meta thread, generating an arrival and request response signal carrying a working group slot position identifier and a barrier object identifier according to first synchronization information, and sending the arrival and request response signal to a synchronization engine; the execution engine executes the meta-thread function instruction and generates an arrival signal according to the second synchronization information; aggregating the arrival signals with the same slot position identifier and barrier object identifier to obtain a final arrival signal; the synchronization engine determines a target barrier object and updates a count value, and constructs a response signal and sends the response signal to the target meta-thread when the count value meets a preset condition. According to the technical scheme, the synchronization signal processing overhead can be reduced, and the parallel execution efficiency is improved.

The invention belongs to the field of information network security. The invention specifically discloses an agent-based logic vulnerability detection method, system and device, and a medium. The method comprises the following steps: capturing service system request response data through network traffic, identifying an HTTP protocol through a port and protocol features, filtering non-HTTP request data, extracting and analyzing the request data, standardizing extracted parameters, continuously collecting and analyzing through an API analysis agent, improving the semantic analysis capability of a large model, perfecting a logic relation graph, and improving the semantic analysis efficiency of the large model. A complete vulnerability life cycle data link is constructed through a vulnerability analysis agent, the system logic vulnerability mining efficiency and coverage are improved, and automatic logic vulnerability alarm and disposal can be realized and the risk disposal real-time performance is improved by accessing the agent to a network security protection product, an alarm analysis platform and other systems.

A model transmission method and a communication apparatus. In the method, a master base station sends a first request message to a first network device, wherein the first request message is used for requesting to add the first network device as a secondary base station to transmit a first model, and instructing the first network device to report its own model transmission capability; the master base station receives a first request response message from the first network device, wherein the first request response message indicates agreement to add the first network device as the secondary base station, and indicates the model transmission capability of the first network device; and on the basis of the model transmission capability of the first network device, the master base station determines a solution for transmitting the first model to a terminal device by the master base station and the first network device. The method defines an AI model transmission mechanism in a dual-connection scenario.

The invention discloses a microservice gateway performance optimization method and system based on real-time flow monitoring and analysis. The invention relates to the technical field of microservice gateways. The real-time flow monitoring module is deployed on a gateway service layer in a sidecar mounting mode to collect flow data of a gateway in real time, wherein the flow data comprise request response time, the number of requests, the number of error requests and system resource use conditions. By dynamically adjusting the key parameters of the gateway, such as the thread pool parameter, the connection pool parameter and the load balancing strategy, the resource allocation and request processing flow is optimized, so that the throughput of the gateway is remarkably improved, the request response time is shortened, and the error rate is reduced. The real-time monitoring and performance evaluation mechanism provided by the invention is helpful to timely discover and solve potential performance bottlenecks and security problems, thereby greatly enhancing the stability of the gateway. Meanwhile, configuration and strategies are dynamically adjusted, so that the gateway can better deal with sudden flow and abnormal conditions, and continuous and stable operation is ensured.