Managing Server Clusters on Renewable Energy Mix

Author:

Li Chao1,Wang Rui2,Qian Depei2,Li Tao3

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. Beihang University, Beijing, China

3. University of Florida, FL, United States

Abstract

As climate change has become a global concern and server energy demand continues to soar, many IT companies have started to explore server clusters running on various renewable energy sources. Existing green data center designs often yield suboptimal performance as they only look at a certain specific type of energy source. This article explores data centers powered by hybrid renewable energy systems. We propose GreenWorks, a framework for HPC data centers running on a renewable energy mix. Specifically, GreenWorks features a cross-layer power management scheme tailored to the timing behaviors and capacity constraints of different energy sources. Using realistic workload traces and renewable energy data, we show that GreenWorks could provide a near-optimal workload performance (within 3% difference) on average. It can also reduce the worst-case performance degradation by 43% compared to the state-of-the-art design. Moreover, the performance improvements are based on carbon-neutral operations and are not at the cost of significant efficiency degradation and reduced battery lifecycle. Our technique becomes more efficient when servers become more energy proportional and can effectively handle the ever-increasing depth of renewable power penetration in green data centers.

Funder

Safe and Scalable Multi-core Computing Awards

NASA/Florida Space Grant Consortium FSREGP

Yahoo! KSC Program Award

NSF

Microsoft Research Trustworthy Computing

SJTU-MSRA Faculty Award

SJTU Faculty Start-up Fund

National Natural Science Foundation of China

SRC

Facebook Fellowship

IBM Faculty Awards

Publisher

Association for Computing Machinery (ACM)

Subject

Software,Computer Science (miscellaneous),Control and Systems Engineering

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