190 results about "Retargeting" patented technology

The invention discloses a virtual machine computing resource dynamic allocation method and system based on a PCIe card and a storage medium, and belongs to the field of virtualization technology and hardware resource management.The method comprises the steps that the computing unit resource utilization rate of the PCIe card is monitored in real time through a hardware abstraction layer; dynamically generating a resource allocation scheme based on an improved auction algorithm, wherein the algorithm optimizes a resource quota through a time attenuation factor and a resource reuse penalty term; utilizing a programmable register remapping technology to distribute independent VF equipment for the virtual machine and establish a direct access channel; realizing interruption isolation between virtual functions through an interruption redirection controller; and during resource redistribution, atomic migration of a calculation task is completed by adopting a check point migration mechanism, and the atomic migration comprises context preloading and PCIe link layer retraining. According to the method, the problems of hardware resource distribution rigidness, insufficient isolation and migration service interruption in the prior art are solved, and fine-grained control and service lossless switching of the heterogeneous computing units are realized.

Various approaches for Multi-access Edge Computing (MEC) Dual Edge App Registration, including registration performed on behalf of edge computing platforms operating as dual deployments in a MEC and 3GPP infrastructure, are discussed. An example first computing platform may be communicatively coupled, via a network, to a second computing platform, and perform operations that: receive a dual application registration request from an application of the first computing platform; map a first application profile of the application at the first computing platform to a second application profile at the second computing platform; redirect the dual application registration request to the second computing platform; receive, in response to the redirect of the dual application registration request, an application registration acknowledgment; and provide, to the application, the application registration acknowledgment.

The invention relates to the technical field of power monitoring system network security and real-time micropatch hot deployment, and discloses a power disaster recovery system-oriented micropatch non-inductive deployment engine, a resource scheduling method, a system, equipment and a medium, and the method comprises the steps: capturing system events through a kernel eBPF probe, and carrying out feature extraction and model reasoning; generating and transmitting an encrypted scheduling token; loading and verifying a patch fragment by a patch agent, inserting a jump instruction through a kernel interface to redirect an execution stream, and maintaining multi-kernel cache consistency; fusing multi-source telemetry data to carry out fusing judgment, realizing network isolation and calling a key service to cancel a key; and collecting runtime indexes and performing trend prediction, triggering a recovery or rollback operation according to a result, and storing an operation result and data through a block chain. According to the method, through combination of deep fusion of multi-source heterogeneous data, dynamic reasoning of a knowledge graph and strategy optimization of reinforcement learning, efficient perception and defense of a complex attack scene of a digital power grid are realized.

Systems and processes enhance cybersecurity by dynamically generating a decoy sub-application that operates parallel to the primary application using generative design and a large language model. The core feature involves real-time anomaly detection within application traffic, utilizing AI to assess threats and orchestrate appropriate responses. Upon identifying potential security threats, the system employs generative design principles to architect a restricted-functionality sub-application, deploying it instantly to engage and analyze the attack vectors without compromising sensitive production data. The sub-application is isolated through software-defined networking, ensuring that its operations do not affect the primary application's functionality. Additionally, sophisticated traffic redirection mechanisms are employed to divert suspicious traffic from the primary to the decoy application, thereby protecting the integrity while allowing detailed threat analysis. This dual-capability system not only safeguards against disruptions but also enhances adaptive security measures through continuous learning and system adjustments.

The invention relates to the technical field of storage and retrieval, in particular to a large-model knowledge persistent storage and retrieval method, which comprises the following steps of: capturing version evolution paths of large-model knowledge units in real time, and constructing a four-dimensional knowledge manifold comprising an ontology feature vector and a version association weight for each knowledge unit; extracting a core knowledge skeleton through a topology preserving layer, separating version difference characteristics through an evolution path layer, and generating compressed skeleton-path double codes; constructing a multi-level index structure based on the skeleton-path double coding, wherein the multi-level index structure comprises a static knowledge ontology layer and a dynamic path redirection layer; writing the knowledge unit into a storage device by adopting a hypercube mapping strategy, and establishing a path attenuation model to dynamically recycle a waste version space; according to the method, the long-term storage availability is improved, and the retrieval accuracy and the storage resource utilization rate are improved while efficient evolution management of the knowledge units is guaranteed.

The invention discloses a CPU affinity guarantee method, computer equipment, a medium and a product, and relates to the technical field of operating systems. The method comprises the following steps: acquiring CPU affinity mask parameters; creating an application starter process, and setting the CPU affinity of the application starter process as a CPU affinity mask parameter; based on a preset application program path, creating an application program process through an application starter process, and injecting the dynamic link library into a process space of the application program process; performing Hook operation on a preset CPU affinity related system API (Application Program Interface); system calling initiated by the application program process is monitored in real time according to the dynamic link library, and when it is detected that the application program process calls a target system API function in a preset CPU affinity related system API, a calling request of the target system API function is redirected to a preset processing function; therefore, the application program process is ensured to always run in the CPU core range limited by the CPU affinity mask parameters.

A computing platform may train a machine learning model to detect and analyze threat actor activities. The computing platform may generate dynamic honeypots and deploy the generated dynamic honeypots as adaptive defenses to threat actors in a computing environment. The computing platform may adapt to threat actor activities based on analyzed behavior of the threat actor and any identified tools used to by the threat actor to gain access to the computing system. The computing platform may cause redirection of the threat actor into a specific computing environment through generation and deployment of dynamic honeypots.

The invention discloses an SRv6 computing power network path optimization method and system based on multi-dimensional dynamic scoring, and belongs to the technical field of communication networks, and the method comprises the steps: building a multi-dimensional dynamic scoring system of load scoring, delay scoring and service priority scoring through collecting node loads, link congestion, geographic distances, topology hops and service types in real time; the method comprises the following steps: dynamically selecting an optimal path based on a DMPSC-T table (including a LastUpdate Time / ExpireTime timestamp mechanism); and when a better path is detected, an End.Redit instruction newly defined by SRv6 is utilized to trigger SID dynamic replacement: an Endpoint node directly replaces a target SID in a SegmentList, and a transfer node generates an ACL rule through a PBR to realize redirection. According to the invention, millisecond-level path switching can be realized, the service quality of high-priority business is effectively improved, and the global scheduling efficiency of network resources is optimized.

Systems and methods receive input(s) for identifying a user profile, transmit identifier data identifying the user profile, and display an initial GUI depicting information associated with the user profile. Prompt data is received to initiate generation of GUI(s) that include customized prompt(s) that identify opportunity-based development actions. Based on receiving the prompt data, the GUI that includes at least one prompt of the customized prompt(s) is dynamically generated and displayed via a user interface of a user device, where the at least one prompt of the customized prompt(s) provides transfer information for redirecting a third-party to one or more locations for effectuating an opportunity-based development action.

The invention discloses an intelligent dynamic VHD merging technology based on AI prediction, and belongs to the technical field of virtualization. According to the technology, virtual machine indexes are monitored through an AI prediction module, the merging opportunity is predicted, and VHD merging of the virtual machine in the online state is achieved in combination with a merging control module, an online merging module and an exception handling module. The method specifically comprises the steps of training a decision tree model based on historical data, and predicting a future disk growth trend; creating a temporary snapshot and redirecting a write operation, wherein a background merging thread only processes an effective modification block; magnetic disk switching is completed through atomic operation, and data consistency is ensured; and a rapid rollback mechanism is provided, and the service continuity is ensured. According to the method, the problems of fixed threshold, off-line merging, full-amount merging and the like in the prior art are solved, intelligent prediction, on-line merging and increment optimization are realized, and the efficiency and reliability of VHD merging are improved.

The invention discloses a server gray release method, device and equipment and a medium, and belongs to the technical field of computers. The method comprises the steps that inbound request flow of a client side is intercepted through a side vehicle agent of a data plane of a service grid, feature identification in a request is extracted, a plurality of version instances of a target application and corresponding routing strategy rules are configured in a control plane of the service grid, and the routing strategy rules comprise gray strategies; and based on a matching result of the feature identifier and the routing policy rule, distributing the inbound request traffic of the client to a plurality of version instances corresponding to the target application according to a gray policy in the routing policy rule. According to the method, the routing capability is increased in the Inbound direction of the service grid, so that the inbound request flow of the client is subjected to request redirection after being matched with the routing, the gray release capability is sunk to the infrastructure level, and the standardization and generalization of the gray release function are realized.

The invention discloses an efficient data flow transceiving controller applicable to a multi-core storage and calculation system, which comprises two transmitting controllers and two receiving controllers, and the transmitting controllers and the receiving controllers are arranged on the peripheries of cores and are used for performing data packaging and transmitting and data flow judgment work; wherein the sending controller comprises a configurable asynchronous FIFO (First In First Out), a data packaging unit and an error correction code generating unit; the receiving controller comprises an error correction code decoding unit, a data packet unpacking unit and a microchip detection unit; the flit detection unit is used for detecting information in a head flit to judge whether data meet the calculation requirement of the current core particle or not, and if the data do not belong to the task range of the current core particle, the data are redirected to the sending controller through a bypass transmission mechanism. According to the application, the transmission speed of the data stream among different core particles is improved, and the data stream can be dynamically planned and transmitted according to the preset rule by constructing the efficient data transceiving controller.

The invention provides an AI-based multi-node rapid disaster recovery switching method and system, and the method comprises the steps: obtaining multi-dimensional monitoring indexes of the CPU usage rate, the memory occupancy rate, the network IO, the disk IO, the application response time and the error rate of each node, and constructing a time sequence feature matrix; extracting space correlation features among nodes by using a graph convolutional network, extracting time sequence features through a long-short-term memory network, constructing a deep space-time graph neural network to identify a fault precursor, and predicting a node fault 30-120 seconds in advance; generating a node health score based on a node fault prediction result and capacity estimation, executing a target node optimization algorithm, and selecting an optimal disaster recovery backup node; the method comprises the following steps: constructing a hot backup by adopting a CRI U-based lightweight process migration technology, and generating a check point and an incremental snapshot of a source container; and automatic disaster recovery switching is executed before the node fails, the service flow is redirected, and the service is ensured not to be interrupted. According to the method, the disaster recovery switching time can be shortened to a millisecond level, and the system availability is remarkably improved.

The invention discloses a hybrid application running environment simulation method and device, equipment and a storage medium, and relates to the technical field of development and debugging, and the method comprises the following steps: obtaining a preset uniform resource locator matching rule and software interface configuration information; intercepting and redirecting a target webpage script development language resource request according to the uniform resource locator matching rule and the software interface configuration information to obtain a combined script; injecting the combined script into a current hypertext markup language page so as to mount a bridge object in a global action range of the hypertext markup language page; and simulating a hybrid application running environment according to the bridge object. Through proxy forwarding and bridge object injection, a running environment similar to the hybrid application is constructed in the PC browser, and the development and debugging efficiency and flexibility are improved.

The invention relates to the field of electric digital data processing and artificial intelligence session systems, and discloses a dynamic intention recognition and multi-agent seamless switching session system and method based on a large language model, and the system comprises an LLM central routing module, an agent session state management module and a cross-platform agent adapter pool. The intelligent agent session state management module defines a main context heap in a physical memory and manages a memory address of a private context block, the LLM central routing module maintains an active context pointer, and session switching is achieved by redirecting the pointer to a target memory address. Therefore, the problems of system delay and resources caused by high-frequency I / O (input / output) are avoided.

Methods, systems, and computer program products. For implementing a container-attached storage facility. A cloud-resident containerized control module is situated in a Kubernetes Pod. A plurality of storage devices are organized into a common access space and made accessible by the cloud-resident containerized control module. In operation, and responsive to receiving a storage I / O request referencing a portion of storage that is addressable via the common access space, the cloud-resident containerized control module redirects the storage I / O request to a storage device of the common access space. Some instances of storage I / Os are redirected toward a cloud-provided block storage facility. Some instances of storage I / Os are redirected to storage devices situated in an on-premises environment.

The invention discloses a micro-front-end infrastructure construction method, device, equipment and medium, relates to the technical field of computer software, can be applied to financial science and technology or medical health business scenarios, and comprises the following steps: integrating basic components, universal components and universal tools to form a basic resource set; calling a packaging tool, screening resources matched with the technology stack of the micro-application in the basic resource set, and packaging the resources into a uniform resource file; redirecting the resource reference of the micro-application to a remote path of the uniform resource file through a resource mapping mechanism to form a mapping relationship between a technology stack and resources; based on the mapping relation, synchronously executing style processing operation and syntactic analysis operation for the micro-application; and based on the virtual element creation method and the style isolation information, rewriting virtual element creation logic of the micro-application, supplementing a style identifier for the micro-application, and marking to realize style isolation of the micro-application in the running process. According to the method, the micro-front-end project starting compiling efficiency can be improved.

The invention relates to a container application migration method and system and a storage medium, and the method comprises the steps: extracting a dependency list and call information through a script, compiling a source code of a current architecture of a container application into an executable file under a target architecture, replacing a dependency library file under the current architecture of the container application with the dependency library file under the target architecture, and carrying out the migration of the container application. Based on the dependency list and the calling information, using the basic mirror image of the target architecture to reconstruct the container mirror image so as to ensure that the container application can run on the target architecture, intercepting and redirecting the system calling through an LDPRELOAD mechanism so as to enable the system calling to adapt to the target architecture, and using a cross compilation tool chain so as to improve the system calling efficiency. And replacing the instruction set of the current architecture with the instruction set of the target architecture, and carrying out container application migration operation. The dependency list and the calling information are extracted through the script, so that the possibility of omitting the dependency list and the calling information required by operation of the container application is reduced, and efficient and stable operation of the container application on the target architecture is ensured.

The invention provides a flow collection method and device. According to the method, a first eBPF program collects first traffic, after mirroring the first traffic, the first traffic is redirected to a third eBPF program, a second eBPF program collects second traffic, after mirroring the second traffic, the second traffic is redirected to the third eBPF program, and after the third eBPF program packages the first traffic and the second traffic, the first traffic and the second traffic are redirected to the third eBPF program. And the TC output direction is controlled by the flow sent to the physical forwarding sending interface, and the flow is sent to the target storage equipment through the physical forwarding sending interface. According to the method, the flow in the out direction and all the flow in the in direction of the virtual machine are collected in the kernel instead of only collecting the flow in the in direction, the flow of the virtual machine is comprehensively obtained, and comprehensive information is provided for flow analysis of the virtual machine.

An AI-driven, self-healing test automation system for WebDriverIO (WDIO), comprising: a. an error catching layer configured to detect when a test step fails due to a missing, moved, or modified UI element; b. an AI-based detection engine configured to analyze the current Document Object Model (DOM), historical test execution data, and element attributes including XPath, CSS selectors, labels, and inner text to identify and evaluate potential alternative UI elements; c. a predictive recovery module that uses pre-trained models such as Long Short-Term Memory (LSTM) networks or transformer-based architectures to predict and select an appropriate recovery action based on the current test context, including repeating the operation, jumping to the next logical step, or redirecting the test flow; d. a dynamic healing process that automatically applies the selected recovery action without requiring manual updates to the test code; e. a feedback learning loop configured to update and retrain the detection and prediction models based on user validation, success metrics, and execution results, thereby improving the accuracy and adaptability of the system over time.

The application discloses a kind of cloud desktop peripheral redirection automatic test method and terminal, by the mode of script, automatically obtain the peripheral equipment that local has accessed and automatically obtain the peripheral equipment information list of cloud desktop inside peripheral redirection;Get the peripheral equipment information after peripheral redirection in cloud desktop, then three kinds of information are compared, when comparing consistent, the simulation use test of peripheral equipment is carried out.Therefore, through the script automatic test can reduce manpower investment, improve test efficiency, and using script can guarantee the consistency and repeatability of test, through the quality of script can determine the quality of test, the task of repeatability is automated, improve accuracy, test efficiency and the enthusiasm of test personnel, conducive to the test maintenance of later period and does not need to occupy larger storage space.

The application relates to a service distribution method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: accessing a core network through a first interworking function network element, establishing an initial PDU (Protocol Data Unit) session; if the service performance requirement of a target service is local distribution, initiating a service local distribution request based on a preconfigured local distribution strategy; receiving a service distribution response message fed back for the service local distribution request, wherein the service distribution response message carries redirection indication information and the address of a second interworking function network element; establishing a connection with the second interworking function network element based on the redirection indication information and the address of the second interworking function network element, and establishing a target PDU session; and sending service data flow to the second interworking function network element, and forwarding the service data flow of the target service in the service data flow to a local server through the target PDU session corresponding to the second interworking function network element. The method realizes the flexibility of service data transmission.

The application discloses an enhanced eMMC / SSD data integrity protection framework, comprising: a multi-level adaptive ECC architecture module for at least one of dynamic protection operation, adaptive error correction operation, incremental check operation and variable code rate ECC operation by using multiple ECC algorithms; an AI assisted error management module for real-time error feature analysis and error propagation prediction of a storage device; a distributed verification mechanism module for cross-device check, construction of multiple protection layers and check performance optimization; a write acceleration module based on a dual-interface SSD for dynamic I / O redirection, device-side log-structured merge tree write cache, multi-level cache and host device cooperative consistency by using a hybrid interface SSD architecture; a software instruction reorganization and hardware partial reconfiguration module for software instruction reorganization and hardware partial reconfiguration in case of failure; and a multi-tenant support module for realizing multi-tenant isolation. In the above manner, data reliability can be improved, and system performance can be optimized.

To provide a computer system and a method for a multi-media redirection for media applications.SOLUTION: A computer system includes a host virtual machine hosting a session with a client computer device. The host virtual machine on a server system including an operating system having a multi-media framework for rendering media content. The computer system executes a media application to access a media content from a media source, processes an encoded media content from the media application using a multi-media framework, and executes a multi-media redirect module to intercept the encoded media content. The multi-media redirect module redirects the encoded media content to the at least one client computer device.SELECTED DRAWING: Figure 1

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may compare an external list of ping pong handovers or redirections that is maintained by an access point, and an internal list of ping pong handovers or redirections that is maintained by the UE. The UE may identify a ping pong detection criterion, for a handover or redirection between a first network node and a second network node, based, at least in part, on the external list, the internal list, both the external list and the internal list, or neither of the external list nor the internal list indicating a previous ping pong handover or redirection between the first network node and the second network node. Numerous other aspects are described.

System and Method for Limiting Access to a Resource. This description relates to a computer device comprising: a memory device configured to store a software application; a processing device connected to the memory device and configured to execute the software application; and one or more resources that can be called by the execution of code in the software application, wherein the memory device, or an additional memory device, is configured to store a redirection table (411) indicating, based on one or both of a calling address and a called address of a call to one of the resources, an alternative address to which the call is to be forwarded, the computer device further comprising software or hardware for intercepting a call from the software application and redirecting the call based on the redirection table (411). Figure for the abstract: Fig. 4

The invention discloses an SCADA (supervisory control and data acquisition) system interface point rerouting method, system, equipment, medium and product, and relates to the field of SCADA systems, the method comprises the following steps: in each HMI (human machine interface) of an SCADA system, respectively receiving a pre-configured variable redirection script for binding two preset logic point identifiers, the picture logic point identifier is directly associated with the picture element in the current HMI interface and is not directly associated with the physical equipment monitored by the SCADA system, and the equipment logic point identifier is opposite; when a trigger instruction for the variable redirection script of any HMI interface is received, after it is detected that the logic point identifier of the current picture is bound with the logic point identifiers of other devices, the binding relation is unbound; and binding the unbound current picture logic point identifier and the unbound current equipment logic point identifier so as to complete redirection of the picture elements and the physical equipment in the HMI interface. The expansibility of the system is improved.

The invention provides a robot dynamic interaction skill learning method and system based on a monocular video, and relates to the technical field of robot control and computer vision crossing. According to the method, the end-to-end, high-fidelity and high-robustness imitation learning ability of the physical robot for executing the dynamic interaction task from monocular vision observation is realized. According to the method, the objective function is optimized, so that the reconstruction result is ensured not only to be consistent with the video visually, but also to be reasonable and achievable physically, and the reconstruction result which is highly consistent physically provides high-quality input for action redirection. In the action redirection process, space-time constraints for interactive contact events are introduced, and it is ensured that the generated robot reference joint trajectory meets physical executable conditions at key interactive moments. Finally, a gap from simulation to reality is reduced by learning a training control strategy, and end-to-end simulation learning from monocular vision observation to physical robot execution is realized.

Live streaming processing method and device. Embodiments of the present application provide a live streaming processing method, device, computer equipment, computer readable storage medium and computer program product, and belong to the field of network live streaming. The method comprises: obtaining freeze state information and bottom-up source information corresponding to a target live stream; determining whether to perform rollback processing on the target live stream based on the freeze state information; in the case of determining to perform rollback processing on the target live stream, determining a target rollback address according to the effectiveness of the bottom-up source information, wherein when the bottom-up source information is available, the target rollback address is a bottom-up playback address; when the bottom-up source information is unavailable, the target rollback address is a redirection service address; and returning a redirection result corresponding to the target rollback address. The technical solution of the embodiments of the present application can improve the responsiveness of playback processing in abnormal scenarios and improve the stability of playback resource acquisition.