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CARPO: Correlation-Aware Power Optimization in Data Center Networks

Please use this identifier to cite or link to this item: http://hdl.handle.net/1811/51688

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dc.contributor.advisor Xiaorui, Wang
dc.creator Xiaodong, Wang
dc.date.accessioned 2012-03-26T17:49:29Z
dc.date.available 2012-03-26T17:49:29Z
dc.date.issued 2012-02
dc.identifier.uri http://hdl.handle.net/1811/51688
dc.description Engineering: 2nd Place (The Ohio State University Edward F. Hayes Graduate Research Forum) en_US
dc.description.abstract Power optimization has become a key challenge in the design of large-scale enterprise data centers. Existing research efforts focus mainly on computer servers to lower their energy consumption, while only few studies have tried to address the energy consumption of data center networks (DCNs), which can account for 20\% of the total energy consumption of a data center. In this paper, we propose CARPO, a correlation-aware power optimization algorithm that dynamically consolidates traffic flows onto a small set of links and switches in a DCN and then shuts down unused network devices for energy savings. In sharp contrast to existing work, CARPO is designed based on a key observation from the analysis of real DCN traces that the bandwidth demands of different flows do not peak at exactly the same time. As a result, if the correlations among flows are considered in consolidation, more energy savings can be achieved. In addition, CARPO integrates traffic consolidation with link rate adaptation for maximized energy savings. We implement CARPO on a hardware testbed composed of 10 virtual switches configured with a production 48-port OpenFlow switch and 8 servers. Our empirical results with Wikipedia traces demonstrate that CARPO can save up to 46% of network energy for a DCN, while having only negligible delay increases. CARPO also outperforms two state-of-the-art baselines by 19.6% and 95% on energy savings, respectively. Our simulation results with 61 flows also show the superior energy efficiency of CARPO over the baselines. en_US
dc.language.iso en_US en_US
dc.relation.ispartofseries 2012 Edward F. Hayes Graduate Research Forum. 26th en_US
dc.subject power management en_US
dc.subject correlation aware en_US
dc.subject data center networking en_US
dc.title CARPO: Correlation-Aware Power Optimization in Data Center Networks en_US
dc.type Presentation en_US
dc.description.embargo A one-year embargo was granted for this item. en_US
dc.rights.cc Attribution-NonCommercial 3.0 Unported en_US
dc.rights.ccuri http://creativecommons.org/licenses/by-nc/3.0/ en_US
Attribution-NonCommercial 3.0 Unported This item is licensed under a Creative Commons License:
Attribution-NonCommercial 3.0 Unported