Towards greener data centers with storage class memory

In Hwan Doh, Young Jin Kim, Eunsam Kim, Jongmoo Choi, Donghee Lee, Sam H. Noh

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Studies have shown that 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. Under-utilization, 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 the previous fine-grained 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 of embedded systems deploying FeRAM. We quantify the energy savings and performance trade-off by turning idle systems off. We show that our energy savings approach consumes energy in proportion to user requests with configurable quality of service. Finally, based on observations made on this data center, we discuss the requirements for real deployment.

Original languageEnglish
Pages (from-to)1969-1980
Number of pages12
JournalFuture Generation Computer Systems
Issue number8
StatePublished - 2013


  • Idleness
  • Power management
  • SCM
  • Servers


Dive into the research topics of 'Towards greener data centers with storage class memory'. Together they form a unique fingerprint.

Cite this