Energy-Aware Resource and Revenue Management in Federated Cloud: A Game-Theoretic Approach
Reduction of energy expenditure is becoming an important issue for a cloud provider (CP) when providing cloud services over the Internet. Federation among CPs, whereby a set of CPs cooperating together to provide virtual machine (VM) instances requested by users, can be an effective solution to addr...
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Veröffentlicht in: | IEEE systems journal 2017-06, Vol.11 (2), p.951-961 |
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creator | Hassan, Mohammad Mehedi Abdullah-Al-Wadud, Mohammad Almogren, Ahmad Song, Biao Alamri, Atif |
description | Reduction of energy expenditure is becoming an important issue for a cloud provider (CP) when providing cloud services over the Internet. Federation among CPs, whereby a set of CPs cooperating together to provide virtual machine (VM) instances requested by users, can be an effective solution to address this issue. In this paper, we present an effective capacity-sharing mechanism in a federated cloud environment that can lead to a global energy sustainability policy for the federation and encourages them to cooperate. A coalition game theory was utilized to model various interactions among providers. However, unlike the existing approaches, the proposed game model looks for a set of low-energy-cost CPs in a federation such that the social welfare is maximized and provides a fare and suitable revenue for them. In addition, we consider the demand variations of internal users of a CP when sharing VM resources. Moreover, a detailed analysis of various costs and revenue aspects is presented. Experiment results demonstrated that the proposed game model is able to maximize the social welfare of the CPs while satisfying the fairness and stability properties of the federation. |
doi_str_mv | 10.1109/JSYST.2015.2472973 |
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Federation among CPs, whereby a set of CPs cooperating together to provide virtual machine (VM) instances requested by users, can be an effective solution to address this issue. In this paper, we present an effective capacity-sharing mechanism in a federated cloud environment that can lead to a global energy sustainability policy for the federation and encourages them to cooperate. A coalition game theory was utilized to model various interactions among providers. However, unlike the existing approaches, the proposed game model looks for a set of low-energy-cost CPs in a federation such that the social welfare is maximized and provides a fare and suitable revenue for them. In addition, we consider the demand variations of internal users of a CP when sharing VM resources. Moreover, a detailed analysis of various costs and revenue aspects is presented. 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Federation among CPs, whereby a set of CPs cooperating together to provide virtual machine (VM) instances requested by users, can be an effective solution to address this issue. In this paper, we present an effective capacity-sharing mechanism in a federated cloud environment that can lead to a global energy sustainability policy for the federation and encourages them to cooperate. A coalition game theory was utilized to model various interactions among providers. However, unlike the existing approaches, the proposed game model looks for a set of low-energy-cost CPs in a federation such that the social welfare is maximized and provides a fare and suitable revenue for them. In addition, we consider the demand variations of internal users of a CP when sharing VM resources. Moreover, a detailed analysis of various costs and revenue aspects is presented. Experiment results demonstrated that the proposed game model is able to maximize the social welfare of the CPs while satisfying the fairness and stability properties of the federation.</description><subject>Cloud computing</subject><subject>Cloud federation</subject><subject>Collaboration</subject><subject>Computational modeling</subject><subject>Cooperation</subject><subject>cooperative game</subject><subject>Cost analysis</subject><subject>energy cost</subject><subject>Energy management</subject><subject>Game theory</subject><subject>Games</subject><subject>Mathematical model</subject><subject>Power demand</subject><subject>Renewable energy</subject><subject>Resource management</subject><subject>Revenue</subject><subject>Servers</subject><subject>social welfare</subject><subject>Virtual environments</subject><subject>virtual machine (VM)</subject><issn>1932-8184</issn><issn>1937-9234</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEtPwzAQhC0EEqXwB-BiiXOK167tmFtUtQVUhETLAS6WE2_6UJsUJwH135M-xGl3pZkdzUfILbAeADMPL9PP6azHGcge72tutDgjHTBCR4aL_vlh51EMcf-SXFXVijEZS2065GtYYJjvouTXBaTvWJVNyJC6wrfHDxYN0ldXuDlusKjpsqAj9BhcjZ4O1mXjH2lCx26D0WyBZcB6mdFkuw2lyxbX5CJ36wpvTrNLPkbD2eApmryNnwfJJMqEknXEpVA-47nDFBSPnU5jyVMQqHLDTY4ydx4YIHCeoVZp5oV2TiJXudcOYtEl98e_bex3g1VtV22Joo20YEAxUMbIVsWPqiyUVRUwt9uw3Liws8DsnqE9MLR7hvbEsDXdHU1LRPw3aC5jAVL8AZETbbE</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Hassan, Mohammad Mehedi</creator><creator>Abdullah-Al-Wadud, Mohammad</creator><creator>Almogren, Ahmad</creator><creator>Song, Biao</creator><creator>Alamri, Atif</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20170601</creationdate><title>Energy-Aware Resource and Revenue Management in Federated Cloud: A Game-Theoretic Approach</title><author>Hassan, Mohammad Mehedi ; Abdullah-Al-Wadud, Mohammad ; Almogren, Ahmad ; Song, Biao ; Alamri, Atif</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-2536dc2faeb1628a7b852b13e6f929fe5fad101e122ce76bcd37aa5e26fd7a183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Cloud computing</topic><topic>Cloud federation</topic><topic>Collaboration</topic><topic>Computational modeling</topic><topic>Cooperation</topic><topic>cooperative game</topic><topic>Cost analysis</topic><topic>energy cost</topic><topic>Energy management</topic><topic>Game theory</topic><topic>Games</topic><topic>Mathematical model</topic><topic>Power demand</topic><topic>Renewable energy</topic><topic>Resource management</topic><topic>Revenue</topic><topic>Servers</topic><topic>social welfare</topic><topic>Virtual environments</topic><topic>virtual machine (VM)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hassan, Mohammad Mehedi</creatorcontrib><creatorcontrib>Abdullah-Al-Wadud, Mohammad</creatorcontrib><creatorcontrib>Almogren, Ahmad</creatorcontrib><creatorcontrib>Song, Biao</creatorcontrib><creatorcontrib>Alamri, Atif</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><jtitle>IEEE systems journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hassan, Mohammad Mehedi</au><au>Abdullah-Al-Wadud, Mohammad</au><au>Almogren, Ahmad</au><au>Song, Biao</au><au>Alamri, Atif</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Energy-Aware Resource and Revenue Management in Federated Cloud: A Game-Theoretic Approach</atitle><jtitle>IEEE systems journal</jtitle><stitle>JSYST</stitle><date>2017-06-01</date><risdate>2017</risdate><volume>11</volume><issue>2</issue><spage>951</spage><epage>961</epage><pages>951-961</pages><issn>1932-8184</issn><eissn>1937-9234</eissn><coden>ISJEB2</coden><abstract>Reduction of energy expenditure is becoming an important issue for a cloud provider (CP) when providing cloud services over the Internet. Federation among CPs, whereby a set of CPs cooperating together to provide virtual machine (VM) instances requested by users, can be an effective solution to address this issue. In this paper, we present an effective capacity-sharing mechanism in a federated cloud environment that can lead to a global energy sustainability policy for the federation and encourages them to cooperate. A coalition game theory was utilized to model various interactions among providers. However, unlike the existing approaches, the proposed game model looks for a set of low-energy-cost CPs in a federation such that the social welfare is maximized and provides a fare and suitable revenue for them. In addition, we consider the demand variations of internal users of a CP when sharing VM resources. Moreover, a detailed analysis of various costs and revenue aspects is presented. Experiment results demonstrated that the proposed game model is able to maximize the social welfare of the CPs while satisfying the fairness and stability properties of the federation.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSYST.2015.2472973</doi><tpages>11</tpages></addata></record> |
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subjects | Cloud computing Cloud federation Collaboration Computational modeling Cooperation cooperative game Cost analysis energy cost Energy management Game theory Games Mathematical model Power demand Renewable energy Resource management Revenue Servers social welfare Virtual environments virtual machine (VM) |
title | Energy-Aware Resource and Revenue Management in Federated Cloud: A Game-Theoretic Approach |
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