CoRaiS: Lightweight Real-Time Scheduler for Multiedge Cooperative Computing

Yujiao Hu, Qingmin Jia, Jinchao Chen, Yuan Yao, Yan Pan, Renchao Xie, F. Richard Yu

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

Multiedge cooperative computing that combines constrained resources of multiple edges into a powerful resource pool has the potential to deliver great benefits, such as a tremendous computing power, improved response time, and more diversified services. However, the mass heterogeneous resources composition and lack of scheduling strategies make the modeling and cooperating of multiedge computing system particularly complicated. This article first proposes a system-level state evaluation model to shield the complex hardware configurations and redefine the different service capabilities at heterogeneous edges. Second, an integer linear programming model is designed to cater for optimally dispatching the distributed arriving requests. Finally, a learning-based lightweight real-time scheduler, CoRaiS is proposed. CoRaiS embeds the real-time states of the multiedge system and requests information, and combines the embeddings with a policy network to schedule the requests, so that the response time of all requests can be minimized. Evaluation results verify that the CoRaiS can make a high-quality scheduling decision in real-time, and can be generalized to other multiedge computing system, regardless of the system scales. Characteristic validation also demonstrates that the CoRaiS successfully learns to balance loads, perceive real-time state and recognize heterogeneity while scheduling.

源语言英语
页(从-至)28649-28666
页数18
期刊IEEE Internet of Things Journal
11
17
DOI
出版状态已出版 - 2024

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