On Profiling the Energy Consumption of Distributed Simulations: A Case Study
Reducing the energy consumption of computing systems has been the topic of many research studies. Specifically, optimizing the energy consumption of applications is important to reduce the carbon footprint and the associated costs. In this paper, we detail a method to profile the energy usage of dis...
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Published in: | 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing pp. 133 - 138 |
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Main Authors: | , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
01-12-2010
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Subjects: | |
Online Access: | Get full text |
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Summary: | Reducing the energy consumption of computing systems has been the topic of many research studies. Specifically, optimizing the energy consumption of applications is important to reduce the carbon footprint and the associated costs. In this paper, we detail a method to profile the energy usage of distributed simulations in a grid environment and conduct several experiments towards characterizing the power behavior of our PRIME network simulator. We conclude that although PRIME shows a high level of parallelization in some scenarios, the energy consumption increases significantly as more compute nodes are used to run a network model. Also, we show that cross-traffic has a tremendous impact in the energy usage. |
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ISBN: | 1424497795 9781424497799 |
DOI: | 10.1109/GreenCom-CPSCom.2010.150 |