Abstract:

To address the problem that existing wide-area distributed computing power scheduling，a technology based on dynamic latency-aware scheduling （DLAS） is proposed. This technology detects backbone network latency through a 30 second cycle，combined with intelligent fault detection and adaptive migration strategies，to achieve better routing decisions and high availability guarantees. Establish a delay optimization mathematical model，which has been theoretically proven to reduce the average delay by 35% to 50% and shorten the fault recovery time to the minute level. Experiments have shown that the dynamic latency aware scheduling of DLAS reduces the response latency of computing power services by 42.3% compared to traditional polling scheduling，28.7% compared to static geographic scheduling，and improves service reliability to over 99.95%. This can provide theoretical and practical guidance for constructing efficient and dependable distributed computing power networks.

Key words: distributed computing power network, computing power scheduling, time delay perception, fault detection, adaptive migration