230 results about "Retargeting" patented technology

Systems and methods for a novel architecture to support always-on applications and / or models suffering drift in their results. The system may comprise one or more servers that are configured to track the historical behavior of incoming request data for a model and / or redirect the request as needed using parallel data domains. The one or more servers may maintain and update a catalog of potential data domains that partitions the historically received data. One partition may comprise data output from a current model. Another partition may comprise detected outliers in the data. In the case of drift, outliers, and / or anomalies in the incoming data, the system may return an error signal that causes data to be duplicated into a new data domain.

Systems and methods are disclosed that relate to applications and platforms for performing in-system testing for autonomous or semi-autonomous systems and applications. In some embodiments, resources of a computing system may be grouped into one or more subsets of system elements (e.g., “a chiplet”) and may be configured to be controlled via an associated local controller, which may enable and / or disable the chiplet as targeted. In embodiments, the local controllers may receive instructions from a central controller and, via the enabling and / or disabling of the chiplets, may maintain a number of resources consumed during system testing within a threshold. As a result, the system may be configured to perform system testing without additional resources and / or without redirecting resources that may be intended for other operations.

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.

Exemplary system, method and computer-accessible medium, according to exemplary embodiments of the present disclosure, can be used to couple, connect, associate, combine, link, or integrate inter-process communication tools (e.g., underlying inter-process communication (IPC) tools), and provide applications with a coupled IPC API (“application programming interface”), potentially different from that of the underlying IPC tools it relies upon. The exemplary procedures, system and / or methods can differentiate between the IPC API provided to an application by the present disclosure, and the IPC API(s) of the underlying tool(s) that is (are) being coupled to. The exemplary procedures, system and / or methods can integrate IPC tools when, e.g., the IPC API provided by the present disclosure is a sufficient subset of the underlying IPC API(s) to match an application's requirements, the application making use of the IPC interface is unaware that its IPC calls are being intercepted and redirected to one or more IPC tool(s).

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 relates to the technical field of computers, and discloses a virtual machine backup method and device, computer equipment and a storage medium, and the method comprises the following steps: obtaining total data of a virtual machine disk in a virtual machine to be backed up, and storing the total data to a backup disk; and starting a redirection function in the to-be-backed-up virtual machine, and writing incremental data corresponding to a data modification instruction into a virtual machine disk and a backup disk by utilizing the redirection function under the condition that the to-be-backed-up virtual machine receives the data modification instruction. The problems that data of the virtual machine is difficult to backup in time and the IO performance of the virtual machine is affected by backup when the virtual machine is backed up once at intervals are solved.

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 action redirection method comprises the following steps: segmenting a target role based on semantics of different parts on the target role to obtain a plurality of first body segments related to the target role; based on a first coordinate system marked on each first body segment, modeling is carried out on each first body segment to obtain a plurality of first geometric models, and one first geometric model is used for representing the shape of one body segment; performing collision detection on the plurality of first geometric models; and when there is a collision between the first geometric models, adjusting the distance between the first geometric models with the collision, and adjusting the action sequence of the target role based on the adjusted distance. Thus, the coordinate system is constructed on the body segments on the target role, the geometric model is output through modeling, accurate geometric expression of the body segments is achieved, and the quality and efficiency of judging whether mold penetration exists between the body segments or not are improved.

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.

A security agent configured to initiate a security agent component as a hypervisor for a computing device is described herein. The security agent component may change a value of a processor configuration register, such as a Model Specific Register (MSR), in order to cause system calls to be redirected to the security agent, and may set an intercept for instructions for performing read operations on the processor configuration register so that a process, thread, or component different from the processor of the computing device may receive the original value of the processor configuration register instead of an updated value of the processor configuration register. The security agent component may also be configured to generate interrupts to offload task execution from the hypervisor to a security agent executing as a kernel-level component.

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.

One or more techniques and / or computing devices are provided for managing an arbitrary set of storage items using a granset. For example, a storage controller may host a plurality of storage items and / or logical unit numbers (LUNs). A subset of the storage items are grouped into a consistency group. A granset is created for tracking, managing, and / or providing access to the storage items within the consistency group. For example, the granset comprises application programming interfaces (APIs) and / or properties used to provide certain levels of access to the storage items (e.g., read access, write access, no access), redirect operations to access either data of an active file system or to a snapshot, fence certain operations (e.g., rename and delete operations), and / or other properties that apply to each storage item within the consistency group. Thus, the granset provides a persistent on-disk layout used to manage an arbitrary set of storage items.

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.

The invention discloses a programmable instruction distribution system, belongs to the technical field of general graphic processing units, and aims to solve the technical problems that when branch instruction segments and loop instruction segments are processed, a large number of invalid operations exist in a GPGPU instruction pipeline, a plurality of clock cycles are occupied, the execution efficiency and parallel performance of a GPGPU are reduced, and the execution efficiency of the GPGPU is reduced. According to the technical scheme, the system comprises an instruction splitting unit and an instruction replaying unit; the instruction splitting unit is used for splitting the complete instruction segment into a plurality of sub instruction segments and completing rapid distribution of a specific instruction segment; the instruction splitting unit comprises an instruction selection switch and a programmable instruction queue; wherein the instruction selection switch is used for generating a corresponding branch instruction section from a programmable instruction queue according to an instruction mask, and distributing a branch instruction; the instruction replay unit is used for recording the distributed instruction segments and controllably replaying the corresponding instruction segments; the instruction replay unit includes register redirection logic, an instruction counter, and an instruction record queue.

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 invention relates to a business 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 intercommunication function network element, and establishing an initial PDU protocol data unit session; if the service performance requirement of the target service is local offloading, initiating a service local offloading request based on a pre-configured local offloading strategy; receiving a service offload response message fed back for the service local offload request, wherein the service offload response message carries redirection indication information and the address of the second intercommunication 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 the service data stream to a second intercommunication function network element, and shunting and forwarding the service data stream of the target service in the service data stream to a local server through a target PDU session corresponding to the second intercommunication function network element. By adopting the method, the flexibility of service data transmission is realized.