SCHEDULE: NOV 12-18, 2011

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Reducing Electricity Cost Through Virtual Machine Placement in High Performance Computing Clouds

SESSION: Power Optimization

EVENT TYPE: Paper

TIME: 2:30PM - 3:00PM

AUTHOR(S):Kien Le, Jingru Zhang, Jiandong Meng, Yogesh Jaluria, Thu Nguyen, Ricardo Bianchini

ROOM:TCC 304

ABSTRACT:
In this paper, we first study the impact of load placement policies on cooling and maximum data center temperatures in cloud service providers that operate multiple geographically distributed data centers. Based on this study, we then propose dynamic load distribution policies that consider all electricity-related costs as well as transient cooling effects. Our evaluation studies the ability of different cooling strategies to handle load spikes, compares the behaviors of our dynamic cost-aware policies to cost-unaware and static policies, and explores the effects of many parameter settings. Among other interesting results, we demonstrate that (1) our policies can provide large cost savings, (2) load migration enables savings in many scenarios, and (3) all electricity-related costs must be considered at the same time for higher and consistent cost savings.

Chair/Author Details:

Kien Le - Rutgers University

Jingru Zhang - Rutgers University

Jiandong Meng - Rutgers University

Yogesh Jaluria - Rutgers University

Thu Nguyen - Rutgers University

Ricardo Bianchini - Rutgers University

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The full paper can be found in the ACM Digital Library