ACM Transactions on Architecture and Code Optimization (TACO)
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Towards energy-proportional computing for enterprise-class server workloads
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering
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As the power consumption of a server system becomes a mainstream concern in enterprise environments, understanding the system's power behavior at varying utilization levels provides us a key to select appropriate energy-efficiency optimizations. In this work, we present an in-depth analysis of 177 SPECpower_ssj2008 results published between 2007 -- 2010 to understand the changes of server's power behavior over time. In particular, we identified simple nonlinear functions appropriate for modeling the power behavior of today's, aggressively power-managed, machines. We consider this work as an important first step towards developing capability for power signature analysis of a high-end computer system.