Power Reduction Scheme of Fans in a Blade System by Considering the Imbalance of CPU Temperatures
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
A survey on techniques for improving the energy efficiency of large-scale distributed systems
ACM Computing Surveys (CSUR)
Experimental Study on the Energy Consumption in IaaS Cloud Environments
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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Energy efficiency in large-scale distributed systems has recently emerged as a hot topic. This paper addresses some theoretical and experimental aspects of energy efficiency by putting in perspective some assumptions made in this domain and some observations and analyses. Based on some experimental results and measurements, we revisit and focus on some “truths” commonly assumed concerning the energy usage of servers, the links between resource load and consumed energy, the impact of ON/OFF models, and some wrong assumptions linking energy and virtualization.