C
Chao Li
Researcher at Shanghai Jiao Tong University
Publications - 97
Citations - 1645
Chao Li is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Data center & Power management. The author has an hindex of 18, co-authored 84 publications receiving 1162 citations. Previous affiliations of Chao Li include University of Florida.
Papers
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Journal ArticleDOI
iSwitch: coordinating and optimizing renewable energy powered server clusters
Chao Li,Amer Qouneh,Tao Li +2 more
TL;DR: iSwitch is proposed, a lightweight server power management that follows renewable power variation characteristics, leverages existing system infrastructures, and applies supply/load cooperative scheme to mitigate the performance overhead and can help computer architects make informed decisions on sustainable and high-performance system design.
Journal ArticleDOI
Edge-Oriented Computing Paradigms: A Survey on Architecture Design and System Management
TL;DR: This article provides a complete and up-to-date review of edge-oriented computing systems by encapsulating relevant proposals on their architecture features, management approaches, and design objectives.
Proceedings ArticleDOI
SolarCore: Solar energy driven multi-core architecture power management
TL;DR: SolarCore, a solar energy driven, multi-core architecture power management scheme that combines maximal power provisioning control and workload run-time optimization is proposed, making the first step on maximally reducing the carbon footprint of computing systems through the usage of renewable energy sources.
Proceedings ArticleDOI
Towards sustainable in-situ server systems in the big data era
TL;DR: This work implements a heavily instrumented proof-of-concept prototype called InSURE: in-situ server systems using renewable energy, and develops a novel energy buffering mechanism and a unique joint spatio-temporal power management strategy to coordinate standalone power supplies and in-Situ servers.
Proceedings ArticleDOI
Enabling distributed generation powered sustainable high-performance data center
Chao Li,Ruijin Zhou,Tao Li +2 more
TL;DR: This paper develops data center power demand shaping (PDS), a novel technique that allows data centers to utilize onsite green energy efficiently and could save over 100 metric tons of carbon emissions annually for a 10MW data center.