通信学报2023，Vol.44Issue(11)：129-142,14.DOI:10.11959/j.issn.1000-436x.2023206
算力网络中面向计算重用的任务调度优化
Optimization of task scheduling for computing reuse in computing power network
摘要
Abstract
To cope with the challenges posed by the future explosive growth in computing power demand,computing re-use technology was introduced into the computing power network to reduce service latency and computational resource consumption by reusing the results of computational tasks.Based on this,a service federation-based context-aware online learning algorithm was proposed.First,the reuse index was designed to reduce the extra lookup latency.Then,online learning was performed based on the service federation mechanism to make computational task scheduling decisions ac-cording to contextual information and historical experience.The experimental results show that the proposed algorithm outperforms the baseline algorithms in terms of service latency and computational resource consumption.关键词
算力网络/计算重用/任务调度/在线学习Key words
computing power network/computing reuse/task scheduling/online learning分类
信息技术与安全科学引用本文复制引用
马云霄,吴忠辉,徐祖云,衷璐洁,许长桥..算力网络中面向计算重用的任务调度优化[J].通信学报,2023,44(11):129-142,14.基金项目
国家自然科学基金资助项目(No.62225105) （No.62225105）
北京邮电大学博士生创新基金资助项目(No.CX2021108) The National Natural Science Foundation of China(No.62225105),The BUPT Excellent Ph.D.Students Foun-dation(No.CX2021108) （No.CX2021108）
