6results about How to "Improve service availability" patented technology

Embodiments of the present disclosure relate to a connection management method and device of a service node cluster, and a medium, wherein the method comprises: if it is detected that a first service node in the service node cluster meets a migration trigger condition, determining a second service node from idle service nodes in the service node cluster, and controlling the first service node to acquire a migration lock corresponding to the service node cluster, wherein the migration lock is acquired by one service node at the same time; in response to the first service node successfully acquiring the migration lock, controlling the second service node to acquire connection state information of a transmission control protocol of the first service node, adding a transmission control protocol connection in a local connection pool according to the connection state information; and modifying the first service node in a routing rule of the service node cluster to the second service node, so as to migrate an access request of a client to the first service node to the second service node based on the routing rule and the transmission control protocol connection. The service availability is improved.

This invention discloses a method for collaborative startup, state synchronization, and anomaly recovery of a desktop intelligent agent system, belonging to the field of desktop software operation control technology. The method includes: a launcher process creating a named mutex and detecting the existence of an already running instance; activating the already running instance and terminating the current instance if one exists; and loading a local configuration file and verifying the integrity of key fields if no running instance exists. This invention avoids resource conflicts caused by repeated startups by using single-instance mutexes and activation of already running instances; improves recoverability after upgrades, migrations, and reinstallations through configuration completion, compatible migration, and failure rollback; enhances the availability of local sidecar services through gateway orchestration and health check mechanisms; improves state consistency between the main process, rendering layer, and gateway through a unified state bus; and reduces the frequency of manual intervention and improves long-term operational stability through an anomaly-level recovery mechanism.

The invention discloses a functional security cloud system based on endogenous security design and an implementation method thereof, the system is deployed on a cloud platform, and the system comprises a functional security core management layer for defining and managing security requirements and states of workloads on the cloud; the endogenous security execution environment module is used for acquiring heterogeneous resources according to security requirements, creating and managing a dynamic redundancy unit for a working load, and outputting a consistent result through a mimicry scheduling and multi-mode decision mechanism; the security situation awareness and collaborative response module is used for monitoring the operation situation of the system and analyzing abnormal events; the module reports an abnormal event to a functional security core management layer; and the functional security core management layer drives the workload to perform security state transition and issues a corresponding control instruction to the execution environment. Compared with the prior art, deep fusion and integrated guarantee of function security and network security on a cloud platform are realized through a closed-loop mechanism of security event-driven service state transition and state decision feedback control security execution.

The invention relates to the technical field of electric power system automation and artificial intelligence crossing, and particularly discloses an AI-based electric power fault diagnosis and processing method and system. The system comprises a local rapid diagnosis module which is used for matching real-time fault features with a historical case library and realizing second-level response of common faults; the deep analysis and diagnosis module is used for carrying out deep reasoning by fusing physical characteristics obtained by power grid load flow calculation with an AI model when rapid matching fails, and generating a candidate fault list; the simulation verification and decision module is used for sequentially verifying the candidate list through digital twin simulation, determining final diagnosis and generating a personalized treatment scheme; and the closed-loop optimization module is used for synchronous updating and self-learning according to the field treatment feedback. According to the method, a whole-process closed loop from fault perception, intelligent analysis, physical verification, decision generation to knowledge evolution is realized, the accuracy of power fault diagnosis and the safety and efficiency of disposal are improved, and the method has a continuous self-optimization capability.

The invention provides a distributed account book asynchronous communication optimization method and equipment based on a Nash equilibrium game and topological sorting. The method comprises the following steps: in response to a resource allocation request, solving Nash equilibrium based on a distributed optimal reaction iterative algorithm under a chain so as to obtain equilibrium bid and expected utility of each broker in a specific strategy space; determining a winning agent and locking a target resource according to a four-in-one rule including bid standard reaching, utility maximization, utility difference standard reaching and qualification compliance; constructing a business process directed acyclic graph by using a topological sorting algorithm, and calculating a process priority of each task node based on a critical path method; and calculating a dynamic comprehensive priority in combination with a Nash priority generated by a game and a process priority, and further driving a workflow engine to execute task asynchronous scheduling. According to the scheme, the problem of data consistency in a high-concurrency scene is effectively solved, and the resource utilization rate and the system throughput are remarkably improved.