Optimal power cost management using stored energy in data centers

Authors:
Rahul Urgaonkar;Bhuvan Urgaonkar;Michael J. Neely;Anand Sivasubramaniam
Affiliations:
Raytheon BBN Technologies, Cambridge, MA, USA;The Pennsylvania State University, University Park, PA, USA;University of Southern California, Los Angeles, CA, USA;The Pennsylvania State University, University Park, PA, USA
Venue:
ACM SIGMETRICS Performance Evaluation Review - Performance evaluation review
Year:
2011

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Abstract

Since the electricity bill of a data center constitutes a significant portion of its overall operational costs, reducing this has become important. We investigate cost reduction opportunities that arise by the use of uninterrupted power supply (UPS) units as energy storage devices. This represents a deviation from the usual use of these devices as mere transitional fail-over mechanisms between utility and captive sources such as diesel generators. We consider the problem of opportunistically using these devices to reduce the time average electric utility bill in a data center. Using the technique of Lyapunov optimization, we develop an online control algorithm that can optimally exploit these devices to minimize the time average cost. This algorithm operates without any knowledge of the statistics of the workload or electricity cost processes, making it attractive in the presence of workload and pricing uncertainties. An interesting feature of our algorithm is that its deviation from optimality reduces as the storage capacity is increased. Our work opens up a new area in data center power management.