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10.1109/IC2E.2013.46guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Total Energy Management System for Cloud Computing

Published: 25 March 2013 Publication History

Abstract

Reducing the energy used in Cloud Computing is an important issue a sustainable society. There are many existing approaches for reducing energy use in data centers, but new approaches are needed in case of energy management of Cloud Computing. Cloud Computing involves decentralized data centers, so new flexible way for collecting energy consumption data becomes quite important. Many current approaches focus on reducing energy consumption by air handling equipment, however energy from IT resources also need to be optimized for a total energy management of Cloud Computing. For advanced energy management for Cloud Computing, we developed a Cloud energy management system with sensor management functions, with an optimized VM allocation tool to minimize energy consumption at multiple data centers. Our evaluations showed more than a 30% energy savings for the servers in our experimental environment. Our system can be extended to optimize energy usage from various perspectives, such as for minimizing electricity bills or carbon emissions.

Cited By

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  • (2019)Towards Green Cloud Computing an Algorithmic Approach for Energy Minimization in Cloud Data CentersInternational Journal of Cloud Applications and Computing10.4018/IJCAC.20190101059:1(59-81)Online publication date: 1-Jan-2019
  • (2017)Intelligent Strategy of Allocation resource for Cloud Datacenter Based on MAS & CP approachProceedings of the International Conference on Computing for Engineering and Sciences10.1145/3129186.3129197(50-55)Online publication date: 22-Jul-2017

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cover image Guide Proceedings
IC2E '13: Proceedings of the 2013 IEEE International Conference on Cloud Engineering
March 2013
349 pages
ISBN:9780769549453

Publisher

IEEE Computer Society

United States

Publication History

Published: 25 March 2013

Author Tags

  1. Cloud Computing
  2. Energy Optimization
  3. Sensor Management
  4. Virtual Machine Allocation

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Cited By

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  • (2019)Towards Green Cloud Computing an Algorithmic Approach for Energy Minimization in Cloud Data CentersInternational Journal of Cloud Applications and Computing10.4018/IJCAC.20190101059:1(59-81)Online publication date: 1-Jan-2019
  • (2017)Intelligent Strategy of Allocation resource for Cloud Datacenter Based on MAS & CP approachProceedings of the International Conference on Computing for Engineering and Sciences10.1145/3129186.3129197(50-55)Online publication date: 22-Jul-2017

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