{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T12:53:53Z","timestamp":1777380833364,"version":"3.51.4"},"reference-count":14,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AIS"],"published-print":{"date-parts":[[2021,5,27]]},"abstract":"<jats:p>In the popular field of cloud computing, millions of job requests arrive at the data centre for execution. The job of the data centre is to optimally allocate virtual machines (VMs) to these job requests in order to use resources efficiently. In the future smart cities, huge amount of job requests and data will be generated by the Internet of Things (IoT) devices which will influence the designing of optimum resource management of smart cloud environments. The present paper analyses the performance efficiency of the data centre with and without job request consolidation. First, the work load performance of the data centre was analysed without job request consolidation, exhibiting that the job requests to VM assignment was highly imbalanced, and only 5% of VMs were running with a load factor of more than 70%. Then, the technique for order of preference by similarity to ideal solution-based VM selection algorithm was applied, which was able to select the best VM using parameters such as the provisioned or available central processing unit capacity, provisioned or available memory capacity, and state of machine (running, hibernated, or available). The Bitbrains dataset consisting of 1750 VMs was used to analyse the performance of the proposed methodology. The analysis concluded that the proposed methodology was capable of serving all job requests using less than 24% VMs with improved load efficiency. The fewer number of VMs with an improved load factor guarantees energy saving and an increase in the overall running efficiency of the smart data centre environment.<\/jats:p>","DOI":"10.3233\/ais-210599","type":"journal-article","created":{"date-parts":[[2021,5,18]],"date-time":"2021-05-18T13:14:10Z","timestamp":1621343650000},"page":"185-199","source":"Crossref","is-referenced-by-count":3,"title":["Multicriteria decision making based optimum virtual machine selection technique for smart cloud environment"],"prefix":"10.1177","volume":"13","author":[{"given":"Raman","family":"Singh","sequence":"first","affiliation":[{"name":"Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India. E-mails:\u00a0raman.singh@thapar.edu,\u00a0msingh@thapar.edu,\u00a0sheetalgarg001@gmail.com"}]},{"given":"Maninder","family":"Singh","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India. E-mails:\u00a0raman.singh@thapar.edu,\u00a0msingh@thapar.edu,\u00a0sheetalgarg001@gmail.com"}]},{"given":"Sheetal","family":"Garg","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India. E-mails:\u00a0raman.singh@thapar.edu,\u00a0msingh@thapar.edu,\u00a0sheetalgarg001@gmail.com"}]},{"given":"Ivan","family":"Perl","sequence":"additional","affiliation":[{"name":"Faculty of Software Engineering and Computer Systems, ITMO University, Saint Petersburg, Russian Federation. E-mails:\u00a0ivan.perl@corp.ifmo.ru,\u00a0ovkalyonova@corp.ifmo.ru,\u00a0aleksandr.penskoi@gmail.com"}]},{"given":"Olga","family":"Kalyonova","sequence":"additional","affiliation":[{"name":"Faculty of Software Engineering and Computer Systems, ITMO University, Saint Petersburg, Russian Federation. E-mails:\u00a0ivan.perl@corp.ifmo.ru,\u00a0ovkalyonova@corp.ifmo.ru,\u00a0aleksandr.penskoi@gmail.com"}]},{"given":"Aleksandr","family":"Penskoi","sequence":"additional","affiliation":[{"name":"Faculty of Software Engineering and Computer Systems, ITMO University, Saint Petersburg, Russian Federation. E-mails:\u00a0ivan.perl@corp.ifmo.ru,\u00a0ovkalyonova@corp.ifmo.ru,\u00a0aleksandr.penskoi@gmail.com"}]}],"member":"179","reference":[{"key":"10.3233\/AIS-210599_ref1","doi-asserted-by":"crossref","unstructured":"G.S.\u00a0Aujla, A.\u00a0Jindal, N.\u00a0Kumar and M.\u00a0Singh, Sdn-based data center energy management system using res and electric vehicles, in: 2016 IEEE Global Communications Conference (GLOBECOM), IEEE, 2016, pp.\u00a01\u20136.","DOI":"10.1109\/GLOCOM.2016.7842243"},{"issue":"1","key":"10.3233\/AIS-210599_ref2","first-page":"40","article-title":"Efficient resource scheduling under varying workloads in cloud data center","volume":"1","author":"Bhavani","year":"2015","journal-title":"International Journal of Emerging Engineering Science and Technology"},{"key":"10.3233\/AIS-210599_ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICSAI.2014.7009304"},{"key":"10.3233\/AIS-210599_ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCNC.2012.6167434"},{"issue":"3","key":"10.3233\/AIS-210599_ref5","doi-asserted-by":"publisher","first-page":"347","DOI":"10.3233\/AIS-160374","article-title":"Fly4smartcity: A cloud robotics service for smart city applications","volume":"8","author":"Ermacora","year":"2016","journal-title":"Journal of Ambient Intelligence and Smart Environments"},{"key":"10.3233\/AIS-210599_ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IISWC.2007.4362193"},{"key":"10.3233\/AIS-210599_ref7","doi-asserted-by":"crossref","unstructured":"D.\u00a0Kargatzis, S.\u00a0Sotiriadis and E.G.\u00a0Petrakis, Virtual machine migration in heterogeneous clouds: From openstack to vmware, in: 2017 IEEE 38th Sarnoff Symposium, IEEE, 2017, pp.\u00a01\u20136.","DOI":"10.1109\/SARNOF.2017.8080393"},{"key":"10.3233\/AIS-210599_ref8","first-page":"1","article-title":"Performance improvement of cloud security with parallel anarchies society optimization algorithm for virtual machine selection in cloud computing","author":"Lanitha","year":"2020","journal-title":"Soft Computing"},{"key":"10.3233\/AIS-210599_ref9","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.compeleceng.2015.08.016","article-title":"Workload modeling for resource usage analysis and simulation in cloud computing","volume":"47","author":"Magalh\u00e3es","year":"2015","journal-title":"Computers & Electrical Engineering"},{"key":"10.3233\/AIS-210599_ref10","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.matdes.2017.02.041","article-title":"A comprehensive mcdm-based approach using topsis, copras and dea as an auxiliary tool for material selection problems","volume":"121","author":"Mousavi-Nasab","year":"2017","journal-title":"Materials & Design"},{"issue":"3","key":"10.3233\/AIS-210599_ref11","doi-asserted-by":"publisher","first-page":"287","DOI":"10.3233\/AIS-170432","article-title":"The intelligent industry of the future: A survey on emerging trends, research challenges and opportunities in industry 4.0","volume":"9","author":"Preuveneers","year":"2017","journal-title":"Journal of Ambient Intelligence and Smart Environments"},{"issue":"2","key":"10.3233\/AIS-210599_ref12","doi-asserted-by":"publisher","first-page":"195","DOI":"10.3233\/AIS-180477","article-title":"Characteristics and categorization of services in cloubi: A cloud-based ubiquitous architecture","volume":"10","author":"Salehan","year":"2018","journal-title":"Journal of Ambient Intelligence and Smart Environments"},{"key":"10.3233\/AIS-210599_ref13","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-019-1454-9"},{"key":"10.3233\/AIS-210599_ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3185768.3186299"}],"container-title":["Journal of Ambient Intelligence and Smart Environments"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/AIS-210599","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T09:19:02Z","timestamp":1777367942000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/AIS-210599"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,27]]},"references-count":14,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/ais-210599","relation":{},"ISSN":["1876-1372","1876-1364"],"issn-type":[{"value":"1876-1372","type":"electronic"},{"value":"1876-1364","type":"print"}],"subject":[],"published":{"date-parts":[[2021,5,27]]}}}