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...

• Type: Conference
• Year: 2008
• Where: MASCOTS
• Authors: Jeonghwan Choi, Sriram Govindan, Bhuvan Urgaonkar, Anand Sivasubramaniam
• Keywords: MASCOTS 2008, Modeling And Simulation, Power Consumption, Sustained Power, Sustained Power Consumption