Abstract
Recent advances such as high penetration of renewables, development of energy-efficient cooling facilities, and flexibility of distributed storage units, all call for a system-wide energy and workload management policy for future sustainable data centers. Leveraging stochastic optimization tools, a unified management approach is proposed allowing data centers to adaptively respond to renewable availability, cooling efficiency variation, workload shift, and energy price fluctuation under long-term quality-of-service (QoS) requirements. It is rigorously established that the proposed algorithm yields a feasible and near-optimal management strategy without knowing the distributions of random workload, renewable, and electricity price processes.
Original language | English (US) |
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Title of host publication | 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 513-517 |
Number of pages | 5 |
ISBN (Electronic) | 9781479975914 |
DOIs | |
State | Published - Feb 23 2016 |
Event | IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 - Orlando, United States Duration: Dec 13 2015 → Dec 16 2015 |
Other
Other | IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 |
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Country/Territory | United States |
City | Orlando |
Period | 12/13/15 → 12/16/15 |
Keywords
- Data center
- cooling-aware
- distributed storage
- renewable generation
- stochastic optimization