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For this reason, solutions are needed to minimize this power consumption, such as virtualization, migration, consolidation, and efficient traffic-aware virtual machine scheduling. In this article, the authors propose two efficient strategies for VM scheduling. SchedCT approach is based on dynamic CPU utilization and temperature thresholds. SchedCR approach takes into consideration dynamic CPU utilization, RAM capacity, and temperature thresholds. These approaches have efficiently decreased the energy consumption of the data centers, the number of VM migrations, and SLA violations, and this reduces, therefore, the emission of CO2 gas.<\/p>","DOI":"10.4018\/ijcac.2020070105","type":"journal-article","created":{"date-parts":[[2020,6,11]],"date-time":"2020-06-11T14:29:12Z","timestamp":1591885752000},"page":"81-95","source":"Crossref","is-referenced-by-count":5,"title":["Efficient Strategies of VMs Scheduling Based on Physicals Resources and Temperature Thresholds"],"prefix":"10.4018","volume":"10","author":[{"given":"Djouhra","family":"Dad","sequence":"first","affiliation":[{"name":"Department of Computer Sciences, Oran 1 University, Algeria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9694-7586","authenticated-orcid":true,"given":"Ghalem","family":"Belalem","sequence":"additional","affiliation":[{"name":"Department of Computer Sciences, Oran 1 University, Algeria"}]}],"member":"2432","reference":[{"key":"IJCAC.2020070105-0","doi-asserted-by":"publisher","DOI":"10.1504\/IJHPCN.2019.102352"},{"issue":"1","key":"IJCAC.2020070105-1","article-title":"Cognitive Visual Analytics of Multi Dimensional Cloud System Monitoring Data.","volume":"9","author":"G.Baciu","year":"2017","journal-title":"International Journal of Software Science and Computational"},{"key":"IJCAC.2020070105-2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-22410-2_22"},{"key":"IJCAC.2020070105-3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-16167-4_25"},{"key":"IJCAC.2020070105-4","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2011.04.017"},{"key":"IJCAC.2020070105-5","doi-asserted-by":"publisher","DOI":"10.1145\/1890799.1890803"},{"key":"IJCAC.2020070105-6","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-385512-1.00003-7"},{"key":"IJCAC.2020070105-7","doi-asserted-by":"publisher","DOI":"10.1002\/spe.995"},{"key":"IJCAC.2020070105-8","doi-asserted-by":"publisher","DOI":"10.1109\/CloudTech.2017.8284743"},{"issue":"5","key":"IJCAC.2020070105-9","first-page":"1","article-title":"Greedy scheduling of tasks with time constraints for energy-efficient cloud-computing Data Centers. 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