基于ADMM的服务缓存与资源优化方法及其系统、介质及设备
By employing the ADMM algorithm for service caching and resource optimization in a distributed mobile edge network, the impact of service caching decisions on task offloading is resolved, load balancing and latency optimization are achieved, and network performance and agricultural machinery operation efficiency are improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INST OF COMPUTING TECH CHINESE ACAD OF SCI
- Filing Date
- 2022-09-30
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, different service caching decisions in distributed mobile edge networks affect task offloading decisions, leading to increased task completion latency and unresolved load imbalance issues.
We adopt an ADMM-based service caching and resource optimization method. By establishing a multi-point collaborative distributed mobile edge network model, we combine communication, computing and storage resources, design a joint optimization strategy for service caching and resource allocation, and use the ADMM algorithm to decompose and solve the convex optimization problem to achieve load balancing.
It reduced task execution latency, improved resource utilization, and optimized network performance, especially in agricultural machinery applications, increasing operating speed and operating area.
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