资源分配方法、装置、设备、介质及产品
By dynamically adjusting resource allocation using a multi-objective optimization function in edge computing, the problem of low resource utilization under the traditional static allocation method is solved, and efficient task completion and resource utilization are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- INDUSTRIAL AND COMMERCIAL BANK OF CHINA
- Filing Date
- 2026-03-06
- Publication Date
- 2026-07-17
AI Technical Summary
In edge computing scenarios, due to the large number and wide distribution of terminal devices, traditional static resource allocation methods result in low resource utilization, which cannot meet the requirements of low latency and high concurrency. Furthermore, the lack of dynamic perception capabilities and feedback optimization mechanisms leads to task backlog, resource waste, and response delays.
By acquiring the feature information of the tasks to be executed and the edge nodes, a multi-objective optimization function is used to generate resource allocation results. The resource allocation is dynamically adjusted by considering minimizing the average response time, maximizing resource utilization, minimizing energy consumption, maximizing task completion rate, and the dependencies between tasks.
It improved resource utilization, increased task completion efficiency, and enabled rapid response to sudden traffic surges and efficient resource utilization.
Smart Images
Figure CN122420311A_ABST