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MASCOTS
2008

Profiling, Prediction, and Capping of Power Consumption in Consolidated Environments

10 years 5 months ago
Profiling, Prediction, and Capping of Power Consumption in Consolidated Environments
Consolidation of workloads has emerged as a key mechanism to dampen the rapidly growing energy expenditure within enterprise-scale data centers. To gainfully utilize consolidation-based techniques, we must be able to characterize the power consumption of groups of co-located applications. Such characterization is crucial for effective prediction and enforcement of appropriate limits on power consumption--power budgets--within the data center. We identify two kinds of power budgets (i) an average budget to capture an upper bound on long-term energy consumption within that level and (ii) a sustained budget to capture any restrictions on sustained draw of current above a certain threshold. Using a simple measurement infrastructure, we derive power profiles--statistical descriptions of the power consumption of applications. Based on insights gained from detailed profiling of several applications--both individual and consolidated--we develop models for predicting average and sustained powe...
Jeonghwan Choi, Sriram Govindan, Bhuvan Urgaonkar,
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where MASCOTS
Authors Jeonghwan Choi, Sriram Govindan, Bhuvan Urgaonkar, Anand Sivasubramaniam
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