Towards greener data centers with storage class memory: minimizing idle power waste through coarse-grain management in fine-grai

Studies have shown much of today’s data centers are over-provisioned and underutilized. Over-provisioning cannot be avoided as these centers must anticipate peak load with bursty behavior. Underutilization, to date, has also been unavoidable as systems always had to be ready for that sudden burst of requests that loom just around the corner. Previous research has pointed to turning off systems as one solution, albeit, an infeasible one due to its irresponsiveness. In this paper, we present the feasibility of using new Storage Class Memory (SCM, which encompasses specific developments such as PCM, MRAM, or FeRAM) technology to turn systems on and off with minimum overhead. This feature is used to control systems on the whole (in comparison to previous finegrained component-wise control) in finer time scale for high responsiveness with minimized power lost to idleness. Our empirical study is done by executing "real trace"-like workloads on a prototype "data center&qu...

• Type: Conference
• Year: 2010
• Where: CF
• Authors: In Hwan Doh, Young Jin Kim, Jung Soo Park, Eunsam Kim, Jongmoo Choi, Donghee Lee, Sam H. Noh
• Keywords: Applied Computing, CF 2010, Data Center, Energy Savings, Systems