Distributed fusion perception task management method, device and system
By obtaining the node status data of management nodes in the distributed system and dynamically adjusting task management instructions, the problem of inconvenience in multi-node management in the distributed system is solved, and the efficiency of resource scheduling and task allocation is achieved.
CN119814785APending Publication Date: 2025-04-11CHINA UNICOM SMART CONNECTION TECH LTD
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Patent Information
- Application Number
- CN202411976616.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-04-11
AI Technical Summary
Technical Problem
In a distributed system, the management of multiple nodes is inconvenient, making it difficult to achieve effective resource scheduling and task allocation.
Method used
By obtaining the node reporting data of multiple management nodes, the node status of each management node is determined, and different types of task management instructions are sent according to the status differences to achieve reasonable scheduling of resources and dynamic allocation of tasks.
Benefits of technology
It realizes effective management of a large number of computing power nodes, dynamically adjusts task allocation, and improves the system's resource utilization rate and task processing efficiency.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to the field of task processing, and particularly discloses a distributed fusion sensing task management method, device and system. The method comprises the following steps: acquiring node report data of a plurality of management nodes; wherein the node report data is used for representing computing power resource data and task state data of a plurality of computing power nodes managed by the management node; determining the node state of each management node according to the computing power resource data and the task state data of the plurality of computing power nodes managed by each management node; determining the management node of which the node state is in the first state as a first management node, and determining the management node of which the node state is in the second state as a second management node; and sending the first task management instruction to the first management node, and sending the second task management instruction to the second management node. According to the mode, the current node state of each management node can be dynamically determined, so that tasks are reasonably distributed, and effective management of a large number of computing power nodes is realized.
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