Cutting the electric bill for internet-scale systems

Author:

Qureshi Asfandyar1,Weber Rick2,Balakrishnan Hari1,Guttag John1,Maggs Bruce3

Affiliation:

1. MIT, Cambridge, MA, USA

2. Akamai Technologies, Cambridge, MA, USA

3. Carnegie Mellon University, Pittsburgh, PA, USA

Abstract

Energy expenses are becoming an increasingly important fraction of data center operating costs. At the same time, the energy expense per unit of computation can vary significantly between two different locations. In this paper, we characterize the variation due to fluctuating electricity prices and argue that existing distributed systems should be able to exploit this variation for significant economic gains. Electricity prices exhibit both temporal and geographic variation, due to regional demand differences, transmission inefficiencies, and generation diversity. Starting with historical electricity prices, for twenty nine locations in the US, and network traffic data collected on Akamai's CDN, we use simulation to quantify the possible economic gains for a realistic workload. Our results imply that existing systems may be able to save millions of dollars a year in electricity costs, by being cognizant of locational computation cost differences.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Software

Reference27 articles.

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2. Google Inc. "Efficient Computing: Data Centers." http://www.google.com/corporate/green/ datacenters/. Google Inc. "Efficient Computing: Data Centers." http://www.google.com/corporate/green/ datacenters/.

3. Power provisioning for a warehouse-sized computer

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