Energy and Network Aware Workload Management for Sustainable Data Centers with Thermal Storage

Reducing the carbon footprint of data centers is becoming a primary goal of large IT companies. Unlike traditional energy sources, renewable energy sources are usually intermittent and unpredictable. How to better utilize the green energy from these renewable sources in data centers is a challenging...

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Bibliographic Details
Published in:IEEE transactions on parallel and distributed systems 2014-08, Vol.25 (8), p.2030-2042
Main Authors: Yuanxiong Guo, Yanmin Gong, Yuguang Fang, Khargonekar, Pramod P., Xiaojun Geng
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy sources
Bandwidth
Clean energy
Computer centers
Control algorithms
Cooling
Cost engineering
Data center
Data centers
Electricity
Energy management
Energy policy
Energy resources
Energy storage
Green products
load scheduling
Lyapunov optimization
Optimization
Renewable energy
Renewable energy sources
thermal storage
Workload
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Summary:Reducing the carbon footprint of data centers is becoming a primary goal of large IT companies. Unlike traditional energy sources, renewable energy sources are usually intermittent and unpredictable. How to better utilize the green energy from these renewable sources in data centers is a challenging problem. In this paper, we exploit the opportunities offered by geographical load balancing, opportunistic scheduling of delay-tolerant workloads, and thermal storage management in data centers to facilitate green energy integration and reduce the cost of brown energy usage. Moreover, bandwidth cost variations between users and data centers are considered. Specifically, this problem is first formulated as a stochastic program, and then, an online control algorithm based on the Lyapunov optimization technique, called Stochastic Cost Minimization Algorithm (SCMA), is proposed to solve it. The algorithm can enable an explicit trade-off between cost saving and workload delay. Numerical results based on real-world traces illustrate the effectiveness of SCMA in practice.
ISSN:1045-9219
1558-2183
DOI:10.1109/TPDS.2013.278