1972 results about "Request to send" patented technology

The invention discloses an AI interactive data protection method and system based on a security context protocol. According to the method, a client application sends a user request carrying a session identifier to an application gateway; the gateway queries a required context range and a security processing strategy according to the request type, and transmits a strategy instruction; after the SCS verifies the gateway permission, the context data is retrieved and processed according to the strategy instruction, and a security context data block is generated; the gateway assembles the user input and the security context data block into a final request according to an SCP protocol, and sends the final request to an AI model; the AI model processes the request and returns a response; after receiving the response, the gateway updates the session context and updates the stored context data; and finally, the gateway returns the response of the AI model to the client application to complete interaction. According to the method, the exposure of the sensitive context data in the system can be reduced to the greatest extent while the AI interaction effect is ensured, so that the data security and compliance of the AI application are improved.

A computerized system receives an original prompt that a querying user sends to a Large Language Model (LLM) that is operably connected to organizational data sources of an organization. Instead of executing the original prompt by the LLM, the system obtains user-related organizational context that pertains to characteristics of the querying user, obtains data-related organizational context that pertains to data from which the LLM is expected to obtain information for responding to the original query, and obtains pre-defined organizational policy rules, that indicate which type of users are authorized to access which type of organizational data. Based on the obtained data, the system modifies the original prompt into an adapted prompt. The system sends the adapted prompt, and not the original prompt, to the LLM for processing. The system obtains LLM-generated output from the LLM in response to the adapted prompt, and provides that LLM-generated output to the querying user.

The invention provides a request scheduling method and device, and relates to the technical field of artificial intelligence and cloud computing, in particular to the technical field of cloud services. A specific embodiment of the method comprises the following steps: in response to a received server sending event SSE request, creating SSE long connection; generating a session identifier, and returning the session identifier through the SSE long connection; in response to a received message request carrying the session identifier, sending the message request to a server corresponding to the session identifier for processing to obtain response data; and returning response data through the SSE long connection.

The invention discloses a visual arrangement method for model tool calling based on an MCP, and relates to the technical field of artificial intelligence, the method is applied to a model context protocol MCP server, and the method comprises the following steps: receiving a first tool calling request sent by a client, the first tool calling request being generated by a large language model deployed on the client according to the MCP; the first tool calling request is analyzed through a preset unified agent tool and preset tool configuration information to construct a second tool calling request, and the tool configuration information is generated according to configuration operation of a preset visual arrangement interface on the MCP server; sending the second tool calling request to the external interface service, and receiving response information generated by the external interface service according to the second tool calling request; and constructing a request result according to the MCP and the response information, and sending the request result to the large language model. According to the method, the model tool calling efficiency is improved.

The invention discloses a data governance method and device based on an MCP protocol and a medium, and the method comprises the steps: obtaining a language instruction of a user through a data center regulation and control MCP client, determining a data governance demand according to the language instruction, and determining an obtaining request according to the data governance demand; and sending the acquisition request to the MCP server to acquire the data resource through the MCP server, and performing data processing according to the data resource. The data governance process is started through the natural language instruction, user operation is facilitated, and the use threshold is lowered. And the data governance demand and the acquisition request are accurately determined through the analysis instruction, so that the governance pertinence is improved. And resources are obtained and processed by means of the MCP server, so that efficient data management is realized. According to the process, user requirements and data acquisition and processing links are integrated, so that data management is more convenient, accurate and efficient.

The present disclosure relates to data transmission methods. In one example method, a first gateway device obtains a RoCEv2 packet to be sent to a second gateway device, generates a target request, and sends the target request to a network controller. The two gateway devices perform data transmission based on an SRv6 network. The network controller obtains a path computation result based on the target request, and returns the path computation result to the first gateway device. The path computation result includes a network path between the two gateway devices and a reserved network resource. The first gateway device extends the RoCEv2 packet based on the path computation result. An extended RoCEv2 packet carries a first identifier and a second identifier representing RDMA data. The network controller performs bandwidth assurance based on the second identifier and a QoS policy. An extended RoCEv2 packet is forwarded on the network path.

An aspect of this disclosure includes a method of a communication apparatus. The method includes sending a message. The message includes a request to send information. The information includes at least one of: an identifier of a user equipment (UE); a location information where the UE locates; video information around the UE; photo information around the UE; sound information around the UE; temperature information around the UE; vital information of a user of the UE; and contact information of the UE. The method includes receiving the information after sending the message.

The invention provides a modularized integrated circuit unit and a distributed storage unit access method and system, and the modularized integrated circuit unit comprises at least one memory controller which sends a storage address access request to a storage unit; the at least one storage unit provides unified memory access for the storage address access request, and the storage unit comprises a local storage unit and a virtual far-end storage unit; the at least one computing unit initiates a storage address access request; and the at least one internet-on-chip is used for interleaving the storage address indicated by the storage address access request, generating interleaved storage address distribution, determining a corresponding target storage unit, and storing the target storage unit by setting a local storage unit and a virtual far-end storage unit. Uniform address access and load balancing of the distributed storage units on the modularized integrated circuit units are achieved through the address interleaving technology and the virtual storage mapping, the resource utilization rate is increased, and the performance and usability of the distributed storage system are improved.

The invention discloses a zero-copy data transmission method and device, a medium and a product, and belongs to the technical field of data transmission, and the method comprises the steps that an application program requests a memory buffer area from a kernel module; the kernel module allocates a physical memory buffer area according to the request, and returns a specially designed descriptor (including a handle corresponding to an address pointer); the application program submits a descriptor to the kernel module and requests an address pointer of the memory buffer area; after the kernel module verifies the descriptor, the physical memory buffer area is mapped to a virtual address space of the application program, and a corresponding address pointer is returned; the application program writes data needing to be sent according to the address pointer, and after writing is completed, the descriptor is submitted to the kernel module and the written data is requested to be sent; after the kernel module verifies the descriptor, a DMA controller is configured and started, and the written data is directly read from the physical memory buffer area and pushed to a network card to be sent. According to the invention, the security and certainty can be improved while the transmission performance is ensured.

A method and system for action preset based application programming interface (API) call is disclosed. In some embodiments, the method includes receiving a natural language instruction from a user, processing the natural language instruction to extract a set of parameters through a large language model, comparing the extracted parameters against a preset database to find a matching action preset, formatting an API request by combining the extracted parameters with default values obtained from the matching action preset, and sending the formatted API request to an external API endpoint to execute the API request.

A method for distributing user data and permission settings is provided. The method includes receiving user inputs that identify at least one experience provider for data sharing and at least one data sharing preference of the user, configuring a rules engine of the platform computing system with rules based on the user inputs where the rules engine is configured to apply rules to implement data sharing preferences of the user, receiving a request for data of the user, transmitting the request for data of the user, receiving the applicable data of the user, providing the applicable data of the user, determining an amount of funds received from the experience provider and due to the user, and crediting an account associated with the user in the amount of the funds due to the user.

According to an embodiment of the present invention, a method for using information in conjunction with a data repository includes encrypting data associated with the information with an encryption key, sending at least the encrypted data to the data repository, and possibly deleting the information. The method also includes receiving a request for the information from a remote device, and sending a request for the encrypted data to the data repository. The method further includes receiving the encrypted data from the data repository, decrypting the encrypted data using the encryption key, and sending the information to the remote device.

The invention discloses a load balancing method and a related device, and relates to the field of computers, and the method comprises the following steps: obtaining hash ring data; wherein the Hash ring data reflect the mapping relation between the server and the virtual nodes located on the Hash ring; adjusting the number of virtual nodes of the server based on the current load value of the server and a weight coefficient corresponding to a service scene to which the current service request processed by the server belongs; wherein the current service request is distributed to the server based on the Hash ring data; on the basis of the adjusted number of virtual nodes, Hash ring data are updated; and based on the updated Hash ring data, performing server allocation on the new service request, and sending the new service request to the allocated server for processing. According to the invention, the operation response is more timely while the load balancing is realized.

In a cross-security-region resource access method in a cloud computing system, a virtual block device, which is simulated by a virtio protocol-based BLK front-end driver in the cloud computing system and taken as an RPC calling client, receives an IO access request for data resources maintained by a resource service program triggered by a business application installed on each virtual node through a simulated RPC channel on the virtual block device; in response to the IO access request, encapsulates the IO access request into an RPC request for performing an RPC calling for target data resources, sends the RPC request to a RPC calling server program simulated by a virtio protocol-based BLK service through the RPC channel, so that the RPC calling server program submits the RPC request to a resource access agent program, which submits the RPC request to the resource service program to complete cross-security region resource access.

The invention discloses a personalized tinnitus treatment method based on artificial intelligence, and particularly relates to the technical field of artificial intelligence, and the method comprises the steps: S1, user data collection: collecting user data, and transmitting the collected data to an edge computing node; s2, user data preprocessing: carrying out data preprocessing; s3, sending a medical diagnosis request: collecting medical data, and sending the medical data and the medical diagnosis request to a control center; s4, comprehensive analysis and scheme making, wherein comprehensive analysis is carried out, and a personalized tinnitus treatment scheme is made; s5, decision instruction transmission and scheme execution; and S6, dynamic optimization and feedback: collecting treatment feedback data in real time, obtaining a treatment effect evaluation index, and dynamically adjusting a treatment scheme. By collecting user data and medical data in real time, constructing an artificial intelligence model to judge the tinnitus probability and tinnitus subtype, formulating a treatment scheme, judging the treatment effect and dynamically adjusting according to the treatment effect, the treatment effect of the user is effectively improved.

The invention provides a data space-oriented data retrieval enhancement generation method, device and equipment, relates to the technical field of data generation, and aims to improve the accuracy of a retrieval task in a data space of a data network. The method is applied to a data space retrieval enhancement generation system of the Internet of Things, the system comprises a proxy node and a plurality of nodes, and the method comprises the following steps: receiving a query request in a natural language form through the proxy node, and determining a query intention according to the query request; the query intention is matched with the query capability of each node, a plurality of candidate nodes are determined according to the matching degree, the nodes represent data sources in a network data space, and the query capability represents query contents and support fields provided by the nodes; sending the query request to the plurality of candidate nodes for retrieval generation to obtain query results of the plurality of candidate nodes; and the proxy node generates a final query result according to the query results of the plurality of candidate nodes.

To provide an information processing method, a server device, and a program that can reduce the occurrence of costs for continuously maintaining a verifiable credential (VC) even when a VC holder is no longer under the control of a VC issuer.SOLUTION: In response to a holder's instructions, an ID wallet application (APP) obtains the holder's decentralized identifier (DID) and identity verification information, generates a key pair of a private key and public key unique to the holder, sends a DID document update request including the DID, the identity verification information, and the public key to a DID issuer server 3, and upon receiving a DID document update response in response to the DID document update request, sends a verifiable credential (VC) reissue request to a VC Issuer server 4, and upon receiving a VC reissue notification in response to the VC reissue request, obtains a reissued VC.SELECTED DRAWING: Figure 8

The invention relates to the technical field of artificial intelligence, and particularly provides a large-model front-end dialogue interaction method, system and device and a storage medium, and the method comprises the steps: obtaining a cue word, and determining a historical dialogue text quoted by the cue word; the prompt word and the historical dialogue text are packaged into a streaming post request, the streaming post request is sent to a server, and a large model is deployed in the server; obtaining response data generated by the large model and returned by the server, and adding the response data to a buffer queue; recursively analyzing the response data in the buffer queue to obtain a reply text; and rendering the reply text word by word in a dialogue window, and adaptively adjusting a scroll bar of the dialogue window. According to the method, the interaction naturalness and the system response efficiency can be remarkably improved.

Collision avoidance in Multi Link Device (MLD) Make Before Break Roaming (MBBR) may be provided. It may be determined that a client device may comprise an MBBR client device. Next, a Request To Send (RTS) may be sent to the client device. In response to sending the RTS to the client device, a Clear To Send (CTS) may be received from the client device. In response to receiving the CTS, data may be sent to the client device.

One or more embodiments of the invention provide a unified access method and device for heterogeneous data sources, a storage medium and a program product. The uniform access method for the heterogeneous data sources is applied to a uniform access platform, the uniform access platform maintains a routing rule set for each heterogeneous data source, and the routing rule set is used for describing a query mode of fields, mapped in a virtual view of the uniform access platform, of the heterogeneous data sources in the heterogeneous data sources; the method comprises: receiving a query statement; determining a target virtual view involved in the query statement, and screening out a target routing rule matched with the query field in the query statement from a routing rule set corresponding to the target virtual view; according to the query statement and the target routing rule, generating a query request for a heterogeneous data source pointed by the target virtual view; sending the query request to a heterogeneous data source pointed by the target virtual view to obtain query content; and based on the query content, generating a query result of the query statement and returning the query result.

The present application provides a construction method for a data offloading system. The method may include: acquiring a candidate service offloading rule sent by a PCF, and determining, according to a DNAI, a target service offloading rule from the candidate service offloading rule; constructing a service detection rule according to the target service offloading rule; determining a target central UPF according to the target service offloading rule, generating an establishment request according to the service detection rule, and sending the establishment request to the target central UPF, wherein the target central UPF is configured to identify a UE access packet according to the service detection rule, and in response to a detection result of the UE access packet satisfying a preset condition, cache the UE access packet and send an offloading instruction to the SMF; and constructing a UPF resource-based data offloading system according to the offloading instruction.

The application provides a cache manager and a control component. The cache manager comprises an interface, an allocation module and a memory. The interface receives a cache allocation request and sends the cache allocation request to the allocation module. The interface receives first cache index information returned by the allocation module and outputs the first cache index information. In response to the cache allocation request, the allocation module allocates N idle memory blocks and generates the first cache index information. The memory blocks are located in a cache, N is a positive integer, and the first cache index information comprises indexes of the N memory blocks. The memory stores indexes of at least N memory blocks. The cache manager implemented by hardware replaces the software management cache in the prior art, thereby reducing the interaction times between software and hardware when allocating a cache in the control component, improving the information interaction speed inside the control component, and achieving the technical effect of reducing the data transmission time between the host and the flash memory chip.

The invention provides a large-scale concurrent network request management method based on a computing power host management platform, belongs to the technical field of computer networks, and aims to reduce the request pressure on a rear-end host through technologies such as merging same or similar requests, allocating priorities for the requests, maintaining request queues and controlling the request sending frequency. The utilization efficiency of resources is improved, so that the system performance and the user experience are improved.

The invention provides an addressing method for a strategy control network element, an application side network element and a control plane network element, and the method comprises the steps: obtaining a device address of a strategy binding network element retrieval database network element based on the local static data configuration information of the application side network element; retrieving a device address of a database network element according to the policy binding network element, and sending the control plane network element query message to a corresponding target policy binding network element retrieval database network element, so as to query an address of a target control plane network element in the target policy binding network element retrieval database network element according to the control plane network element query information; according to the address of the target control plane network element, sending the policy control network element address query request to the target control plane network element; and receiving a query result corresponding to the policy control network element address query request sent by the target control plane network element. According to the invention, the problem that the application side network element cannot acquire the IP address of the policy control network element according to the user IP address information is avoided.

According to one or more aspects, apparatus, systems, and methods may be provided for language agnostic full link gray deployment of microservices and middleware. According to an aspect a method may be provided for propagating and routing traffic between microservices of an application. The method includes receiving, at a plugin of a proxy corresponding to a service of the application, an outbound request from the service. The outbound request may indicate a trace identifier (ID) identifying a trace of the outbound request in the application. The method may further include assigning, by the plugin, a custom label to the outbound request. The custom label may be associated with the trace ID and indicate a version of the application towards which the outbound request is to be routed. The method may further include sending, by the plugin to a router of the proxy, the outbound request for routing.

The invention discloses a distributed layout information reading method and system, a storage medium and electronic device.The distributed layout information reading method comprises the steps that a task configuration file is read through a master control node, the task configuration file comprises layout information configuration, and the layout information configuration comprises a layout processing area and a single task processing area; the main control node is used for dividing the layout processing area according to the single-task processing area to obtain a plurality of sub-task areas, and each sub-task area corresponds to one sub-task; adopting the master control node to respectively distribute the plurality of subtasks to the corresponding slave nodes according to the distribution strategy; the slave node sends a layout reading request corresponding to the subtask to a target database based on a load balancing mechanism; returning layout information corresponding to the layout reading request to the slave node through the target database; and performing corresponding task processing on the layout information through the slave node, and returning a processing result to the master control node. The layout information reading efficiency can be improved.

The invention relates to the technical field of artificial intelligence, in particular to a method and system for achieving large model access authentication and flow control based on an APISIX gateway, and the method comprises the following steps: a client generates an HTTPS request containing an APIKey, and sends the HTTPS request to an APISIX gateway cluster; the gateway extracts the APIKey and forwards the APIKey to an authentication service, and the validity of the key is verified; after the verification is passed, the authentication service returns a user permission matrix, and the gateway verifies whether the request is within a permission range; after the permission verification is passed, the flow control plug-in detects a flow index according to a preset strategy; when the flow index does not exceed the limit, the gateway forwards the request to the large model service and returns a result; when the flow index exceeds the limit, the gateway executes flow limiting / fusing processing and returns a corresponding error response; the method has the beneficial effects that the gateway executes request forwarding or flow limiting control based on the preset strategy, the problems of illegal access risk and resource allocation imbalance faced by the large model service are effectively solved, the service stability and the resource utilization efficiency are improved, and the method is suitable for security operation and maintenance of the large model service in multiple scenes.

A method for managing data availability includes making a first determination by a first security module (FSM) that a first storage area network (SAN) infrastructure in a first data center has experienced a failure. The method also includes generating a secure string based on a first configuration parameter. Further, the method includes appending the secure string to a SAN failure notification to generate a secure string-appended request. In addition, the method includes sending the secure string-appended request to a second data center, wherein the second data center is selected based on a second configuration parameter. Moreover, the method includes making a second determination that the encrypted secure string-appended request is valid. Further, the method includes offloading processing of requests sent to the first data center using the second data center.

The invention discloses a PCIe-based high-speed data transmission method, device and system, the PCIe-based high-speed data transmission method comprises the following steps: pre-determining a master device and a slave device comprising a standard mode and a high-speed mode in a PCIe link, when the master device is in the standard mode, sending a high-speed mode starting request to a data link layer of the master device by a transaction request layer of the master device; the data link layer of the master device judges whether a high-speed mode is supported according to the current link state, and if yes, the data link layer of the master device sends a high-speed mode starting request to the slave device; when the slave device receives the high-speed mode starting request, the data link layer of the slave device judges whether the high-speed mode is supported or not according to the current link state of the slave device, and if yes, the data link layer of the slave device returns a first agreement signal to the master device; the master device initiates a high speed mode in response to receiving the first agreement signal. According to the invention, high-speed data transmission can be carried out more reasonably and efficiently.

A method performed by a user equipment (UE) is provided. The method comprises sending, in response to a request from a network node, information associated with one or more machine-learning (ML) models operable by the UE; and receiving, from a network node, a representation of at least one modification of one or more variables associated with at least one ML model of the one or more ML models. The one or more variables are based on the information associated with the one or more ML models, and the at least one modification of the one or more variables facilitates at least partially correcting or preventing performance degradations of the at least one ML model.