{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T05:23:20Z","timestamp":1709270600128},"reference-count":25,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2019,10,1]]},"DOI":"10.1587\/transinf.2018edp7441","type":"journal-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T02:45:24Z","timestamp":1569897924000},"page":"1942-1951","source":"Crossref","is-referenced-by-count":2,"title":["SLA-Aware and Energy-Efficient VM Consolidation in Cloud Data Centers Using Host State Binary Decision Tree Prediction Model"],"prefix":"10.1587","volume":"E102.D","author":[{"given":"Lianpeng","family":"LI","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Harbin Institute Of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"DONG","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Harbin Institute Of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Decheng","family":"ZUO","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Harbin Institute Of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"ZHAO","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Harbin Institute Of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianyang","family":"LI","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Harbin Institute Of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"publisher","unstructured":"[1] A. Qureshi, R. Weber, H. Balakrishnan, J. Guttag, and B. Maggs, \u201cCutting the electric bill for internet-scale systems,\u201d Proc. ACM SIGCOMM 2009, vol.39, pp.123-134, 2009. 10.1145\/1594977.1592584","DOI":"10.1145\/1594977.1592584"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] M. Pedram, \u201cEnergy-efficient datacenters,\u201d IEEE Trans. Comput.-Aided Design Integr. Circuits Syst., vol.31, no.10, pp.1465-1484, Oct. 2012. 10.1109\/tcad.2012.2212898","DOI":"10.1109\/TCAD.2012.2212898"},{"key":"3","doi-asserted-by":"publisher","unstructured":"[3] L.A. Barroso and U. H\u00f6lzle, \u201cThe case for energy-proportional computing,\u201d Computer 2007, vol.40, no.12, pp.33-37, Dec. 2007. 10.1109\/mc.2007.443","DOI":"10.1109\/MC.2007.443"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] X. Fan, W.-D. Weber, and L.A. Barroso, \u201cPower provisioning for a warehouse-sized computer,\u201d Proc. 34th Annual International Symposium on Computer Architecture (ISCA 2007), pp.13-23, ACM New York, NY, USA, 2007. 10.1145\/1250662.1250665","DOI":"10.1145\/1250662.1250665"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] D. Kusic, J.O. Kephart, J.E. Hanson, N. Kandasamy, and G. Jiang, \u201cPower and performance management of virtualized computing environments via lookahead control,\u201d Cluster Computing 2009, vol.12, no.1, pp.1-15, March 2009. 10.1007\/s10586-008-0070-y","DOI":"10.1007\/s10586-008-0070-y"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] R.N. Calheiros, R. Ranjan, A. Beloglazov, C.A.F. De Rose, and R. Buyya, \u201cCloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms,\u201d Software: Practice and Experience (SPE), vol.41, no.1, pp.23-50, Jan. 2011. 10.1002\/spe.995","DOI":"10.1002\/spe.995"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] F. Ahamed, S. Shahrestani, and B. Javadi, \u201cSecurity Aware and Energy-Efficient Virtual Machine Consolidation in Cloud Computing Systems,\u201d 2016 IEEE Trustcom\/BigDataSE\/ISPA, Aug. 2016. 10.1109\/trustcom.2016.0236","DOI":"10.1109\/TrustCom.2016.0236"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] A. Beloglazov and R. Buyya, \u201cOptimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers,\u201d Concurrency and Computation: Practice and Experience 2012, vol.24, no.13, pp.1397-420, Sept. 2012. 10.1002\/cpe.1867","DOI":"10.1002\/cpe.1867"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] A. Beloglazov, J. Abawajy, and R. Buyya, \u201cEnergy-aware resource allocation heuristics for efficient management of data centers for cloud computing,\u201d Future Generat. Comput. Syst., vol.28, no.5, pp.755-768, May 2012. 10.1016\/j.future.2011.04.017","DOI":"10.1016\/j.future.2011.04.017"},{"key":"10","unstructured":"[10] A. Beloglazov, Energy-efficient Management of Virtual Machines in Data Centers for Cloud Computing, Ph.D. dissertation, Dept. Comput. Inf. Syst., Univ. Melbourne, Parkville, VIC, Australia, 2013."},{"key":"11","doi-asserted-by":"publisher","unstructured":"[11] F. Farahnakian, A. Ashraf, T. Pahikkala, P. Liljeberg, J. Plosila, I. Porres, I. Porres, and H. Tenhunen, \u201cUsing ant colony system to consolidate vms for green cloud computing,\u201d IEEE Trans. Services Computing, vol.8, no.2, pp.187-98, 2015. 10.1109\/tsc.2014.2382555","DOI":"10.1109\/TSC.2014.2382555"},{"key":"12","doi-asserted-by":"publisher","unstructured":"[12] M.A. Khoshkholghi, M.N. Derahman, A. Abdullah, S. Subramaniam, and M. Othman, \u201cEnergy-Efficient Algorithms for Dynamic Virtual Machine Consolidation in Cloud Data Centers,\u201d IEEE Access, 2017. 10.1109\/access.2017.2711043","DOI":"10.1109\/ACCESS.2017.2711043"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] B.M. Suhib, A. Anjali, G. Nishith, and Z. Marzia, \u201cMarkov Prediction Model for Host Load Detection and VM Placement in Live Migration,\u201d IEEE Access, 2018. 10.1109\/ACCESS.2017.2785280","DOI":"10.1109\/ACCESS.2017.2785280"},{"key":"14","doi-asserted-by":"publisher","unstructured":"[14] L. Li, J. Dong, D. Zuo, and J. Wu, \u201cSLA-Aware and Energy-Efficient VM Consolidation in Cloud Data Centers Using Robust Linear Regression Prediction Model,\u201d IEEE Access, 2019. 10.1109\/access.2019.2891567","DOI":"10.1109\/ACCESS.2019.2891567"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] L. Li, J. Dong, D. Zuo, and J. Liu, \u201cSLA-Aware and Energy-Efficient VM Consolidation in Cloud Data Centers Using Host States Naive Bayesian Prediction Model,\u201d 2018 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Ubiquitous Computing and Communications, Big Data and Cloud Computing, Social Computing and Networking, Sustainable Computing and Communications, 2018. 10.1109\/bdcloud.2018.00025","DOI":"10.1109\/BDCloud.2018.00025"},{"key":"16","doi-asserted-by":"publisher","unstructured":"[16] P.A. Chou, \u201cOptimal Partitioning for Classification and Regression Trees,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.13, no.4, April 1991. 10.1109\/34.88569","DOI":"10.1109\/34.88569"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] Y. Li, \u201cPredicting materials properties and behavior using classification and regression trees,\u201d Materials Science and Engineering, A, vol.433, no.1-2, pp.261-268, Oct. 2006. 10.1016\/j.msea.2006.06.100","DOI":"10.1016\/j.msea.2006.06.100"},{"key":"18","doi-asserted-by":"publisher","unstructured":"[18] M. Dabbagh, B. Hamdaoui, M. Guizani, and A. Rayes, \u201cToward energy-efficient cloud computing: Prediction, consolidation, and overcommitment,\u201d IEEE Netw., vol.29, no.2, pp.56-61, 2015. 10.1109\/mnet.2015.7064904","DOI":"10.1109\/MNET.2015.7064904"},{"key":"19","doi-asserted-by":"publisher","unstructured":"[19] F. Farahnakian, T. Pahikkala, P. Liljeberg, J. Plosila, N.T. Hieu, and H. Tenhunen, \u201cEnergy-aware vm consolidation in cloud data centers using utilization prediction model,\u201d IEEE Trans. Cloud Computing, vol.7, no.2, pp.524-536, 2016. 10.1109\/tcc.2016.2617374","DOI":"10.1109\/TCC.2016.2617374"},{"key":"20","doi-asserted-by":"publisher","unstructured":"[20] A. Beloglazov and R. Buyya, \u201cManaging overloaded hosts for dynamic consolidation of virtual machines in cloud data centers under quality of service constraints,\u201d IEEE Trans. Parallel Distrib. Syst., vol.24, no.7, pp.1366-1379, July 2013. 10.1109\/tpds.2012.240","DOI":"10.1109\/TPDS.2012.240"},{"key":"21","doi-asserted-by":"publisher","unstructured":"[21] L. Breiman, J.H. Friedman, R.A. Olshen, and C.J. Stone, \u201cClassification and Regression Trees,\u201d vol.40, no.3, p.874, Belmont, CA: Wadsworth, Sept. 1984. 10.2307\/2530946","DOI":"10.2307\/2530946"},{"key":"22","unstructured":"[22] D. Steinberg and P.L. Colla, CART: Tree-structured nonparametric data analysis, Salford Systems, San Diego, CA, 1995."},{"key":"23","unstructured":"[23] The SPECpower benchmark. http:\/\/www.spec.org\/power\/ssj2008\/."},{"key":"24","doi-asserted-by":"crossref","unstructured":"[24] C.L. Dumitrescu and I. Foster, \u201cGangSim: A simulator for grid scheduling studies,\u201d Proc. IEEE Int. Symp. Cluster Comput. Grid (CCGrid), vol.2, pp.1151-1158, May 2005. 10.1109\/ccgrid.2005.1558689","DOI":"10.1109\/CCGRID.2005.1558689"},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] H. Hanson, S.W. Keckler, S. Ghiasi, K. Rajamani, F. Rawson, and J. Rubio, \u201cThermal response to DVFS: analysis with an Intel Pentium M,\u201d Proc. International Symposium on Low Power Electronics and Design, ISLPED 07, pp.219-224, Aug, 2007. 10.1145\/1283780.1283827","DOI":"10.1145\/1283780.1283827"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E102.D\/10\/E102.D_2018EDP7441\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,5]],"date-time":"2019-10-05T03:26:12Z","timestamp":1570245972000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E102.D\/10\/E102.D_2018EDP7441\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,1]]},"references-count":25,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2019]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2018edp7441","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,10,1]]}}}