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To address the problem, this paper models the resource allocation problem in a heterogeneous cloud data center as a constraint satisfaction problem (CSP). By solving this constraint satisfaction problem, an optimal resource allocation scheme, which includes a virtual machine provision algorithm and a virtual machine packing algorithm, is designed to minimize the energy consumption in a virtualized heterogeneous cloud data center. Performance studies show that this proposed new scheme outperforms the existing bin-packing based approaches in terms of energy consumption in heterogeneous cloud data centers.<\/p>","DOI":"10.4018\/ijghpc.2014010104","type":"journal-article","created":{"date-parts":[[2014,9,10]],"date-time":"2014-09-10T11:01:05Z","timestamp":1410346865000},"page":"63-76","source":"Crossref","is-referenced-by-count":4,"title":["Novel Resource Allocation Algorithm for Energy-Efficient Cloud Computing in Heterogeneous Environment"],"prefix":"10.4018","volume":"6","author":[{"given":"Wei-Wei","family":"Lin","sequence":"first","affiliation":[{"name":"South China University of Technology, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Tan","sequence":"additional","affiliation":[{"name":"Zhejiang University, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James Z.","family":"Wang","sequence":"additional","affiliation":[{"name":"Clemson University, Clemson, SC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijghpc.2014010104-0","doi-asserted-by":"crossref","unstructured":"Abdelsalam, H. 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