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Characterizing the Impact of the Workload on the Value of Dynamic Resizing in Data Centers

Wang, Kai and Lin, Minghong and Ciucu, Florin and Wierman, Adam and Lin, Chuang (2012) Characterizing the Impact of the Workload on the Value of Dynamic Resizing in Data Centers. ACM SIGMETRICS Performance Evaluation Review, 40 (1). pp. 405-406. ISSN 0163-5999. doi:10.1145/2318857.2254815.

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Energy consumption imposes a significant cost for data centers; yet much of that energy is used to maintain excess service capacity during periods of predictably low load. Resultantly, there has recently been interest in developing designs that allow the service capacity to be dynamically resized to match the current workload. However, there is still much debate about the value of such approaches in real settings. In this paper, we show that the value of dynamic resizing is highly dependent on statistics of the workload process. In particular, both slow time-scale non-stationarities of the workload (e.g., the peak-to-mean ratio) and the fast time-scale stochasticity (e.g., the burstiness of arrivals) play key roles. To illustrate the impact of these factors, we combine optimization-based modeling of the slow time-scale with stochastic modeling of the fast time scale. Within this framework, we provide both analytic and numerical results characterizing when dynamic resizing does (and does not) provide benefits.

Item Type:Article
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Additional Information:© is held by the author/owner(s). SIGMETRICS '12 Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems. This research is supported by the 973 Program of China (No. 2010CB328105), the National Natural Scientific Foundation of China (No. 61020106002 and No. 60973107), and NSF grant CNS 0846025 and DoE grant DE-EE0002890.
Funding AgencyGrant Number
973 Program of China2010CB328105
National Natural Scientific Foundation of China61020106002
National Natural Scientific Foundation of China60973107
Department of Energy (DOE)DE-EE0002890
Subject Keywords:Data Centers, Dynamic Resizing, Energy Efficient IT
Issue or Number:1
Record Number:CaltechAUTHORS:20130109-085806826
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:36260
Deposited By: Tony Diaz
Deposited On:11 Jan 2013 22:14
Last Modified:09 Nov 2021 23:21

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