Data Management

AutoScale: Dynamic, Robust Capacity Management for Multi-Tier Data Centers

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Executive Summary

Energy costs for data centers continue to rise, already exceeding $15 billion yearly. Sadly much of this power is wasted. Servers are only busy 10 - 30% of the time on average, but they are often left on, while idle, utilizing 60% or more of peak power when in the idle state. The authors introduce a dynamic capacity management policy, AutoScale that greatly reduces the number of servers needed in data centers driven by unpredictable, time-varying load, while meeting response time SLAs. AutoScale scales the data center capacity, adding or removing servers as needed.

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