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This paper proposes an improved clonal selection algorithm based on time cost and energy consumption models in cloud computing environment. We have analyzed the performance of our approach using the CloudSim toolkit. The experimental results show that our approach has immense potential as it offers significant improvement in the aspects of response time and makespan, demonstrates high potential for the improvement in energy efficiency of the data center, and can effectively meet the service level agreement requested by the users.<\/jats:p>","DOI":"10.1186\/1687-1499-2014-64","type":"journal-article","created":{"date-parts":[[2014,4,23]],"date-time":"2014-04-23T13:10:56Z","timestamp":1398258656000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":52,"title":["A novel energy-efficient resource allocation algorithm based on immune clonal optimization for green cloud computing"],"prefix":"10.1186","volume":"2014","author":[{"given":"Wanneng","family":"Shu","sequence":"first","affiliation":[]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yunji","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,4,23]]},"reference":[{"issue":"2","key":"1045_CR1","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.simpat.2013.01.004","volume":"39","author":"A Quarati","year":"2013","unstructured":"Quarati A, Clematis A, Galizia A, D'Agostino D: Hybrid clouds brokering: business opportunities, QoS and energy-saving issues. 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