{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:57:02Z","timestamp":1743083822597,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030608019"},{"type":"electronic","value":"9783030608026"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-60802-6_52","type":"book-chapter","created":{"date-parts":[[2020,10,13]],"date-time":"2020-10-13T14:04:35Z","timestamp":1602597875000},"page":"594-606","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Resource Scheduling Algorithm Based on Evolutionary Computation in Dynamic Cloud Environment"],"prefix":"10.1007","author":[{"given":"Qiyuan","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shen","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naili","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peizhi","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,5]]},"reference":[{"issue":"4","key":"52_CR1","first-page":"50","volume":"53","author":"AM Fox","year":"2009","unstructured":"Fox, A.M.: Above the clouds: a berkeley view of cloud computing. Eecs Depart. Univ. Calif. Berkeley 53(4), 50\u201358 (2009)","journal-title":"Eecs Depart. Univ. Calif. Berkeley"},{"issue":"11","key":"52_CR2","doi-asserted-by":"publisher","first-page":"1458","DOI":"10.1109\/TPDS.2008.111","volume":"19","author":"Q Tang","year":"2008","unstructured":"Tang, Q., Gupta, S.K.S., Varsamopoulos, G.: Energy-efficient thermal-aware task scheduling for homogeneous high-performance computing data centers: a cyber - physical approach. IEEE Trans. Parallel Distrib. Syst. 19(11), 1458\u20131472 (2008)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"52_CR3","doi-asserted-by":"crossref","unstructured":"Yang, Z., Liu, M., Xiu, J., Liu, C.: Study on cloud resource allocation strategy based on particle swarm ant colony optimization algorithm. In: IEEE International Conference on Cloud Computing & Intelligence Systems, Hangzhou, pp. 488\u2013491(2012)","DOI":"10.1109\/CCIS.2012.6664453"},{"issue":"11","key":"52_CR4","first-page":"9","volume":"39","author":"S Ding","year":"2018","unstructured":"Ding, S., Chen, S.P.: Multi-objective ant colony resource allocation algorithm based on packet cluster mapping in cloud computing. Software 39(11), 9\u201314 (2018)","journal-title":"Software"},{"issue":"11","key":"52_CR5","doi-asserted-by":"publisher","first-page":"1497","DOI":"10.1016\/j.jpdc.2011.04.007","volume":"71","author":"M Mezmaz","year":"2011","unstructured":"Mezmaz, M., Melab, N., Kessaci, Y.: A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems. J. Parallel Distrib. Comput. 71(11), 1497\u20131508 (2011)","journal-title":"J. Parallel Distrib. Comput."},{"issue":"2","key":"52_CR6","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1007\/s11227-010-0421-3","volume":"60","author":"YC Lee","year":"2012","unstructured":"Lee, Y.C., Zoomaya, A.Y.: Energy efficient utilization of resources in cloud computing systems. J. Supercomput. 60(2), 268\u2013280 (2012)","journal-title":"J. Supercomput."},{"issue":"4","key":"52_CR7","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1109\/TCC.2015.2430339","volume":"5","author":"WJ Lioyd","year":"2017","unstructured":"Lioyd, W.J., et al.: Demystifying the clouds: harnessing resource utilization models for cost effective infrastructure alternatives. IEEE Trans. Cloud Comput. 5(4), 667\u2013680 (2017)","journal-title":"IEEE Trans. Cloud Comput."},{"issue":"2","key":"52_CR8","doi-asserted-by":"publisher","first-page":"524","DOI":"10.1109\/TCC.2016.2617374","volume":"7","author":"F Farahnakian","year":"2019","unstructured":"Farahnakian, F., Pahikkala, T., Liljeberg, P., Plosila, J., Hieu, N.T., Tenhunen, T.: Energy-aware VM consolidation in cloud data centers using utilization prediction model. IEEE Trans. Cloud Comput. 7(2), 524\u2013536 (2019)","journal-title":"IEEE Trans. Cloud Comput."},{"key":"52_CR9","doi-asserted-by":"publisher","first-page":"13817","DOI":"10.1109\/ACCESS.2019.2894188","volume":"7","author":"SQ Gong","year":"2019","unstructured":"Gong, S.Q., Yin, B.B., Zheng, Z., Cai, K.Y.: Adaptive multivariable control for multiple resource allocation of service-based systems in cloud computing. IEEE Access 7, 13817\u201313831 (2019)","journal-title":"IEEE Access"},{"key":"52_CR10","doi-asserted-by":"crossref","unstructured":"Zheng, B.: A new dynamic multi-objective optimization evolutionary algorithm. In: Third International Conference on Natural Computation, ICNC 2007, vol. 5, pp. 565\u2013570. IEEE (2007)","DOI":"10.1109\/ICNC.2007.91"},{"key":"52_CR11","unstructured":"Grefenstette, J.J.: Genetic algorithms for changing environments. In: Maenner, R., Manderick, B. (eds.) Parallel Problem Solving from Nature, North Holland, vol. 2, pp. 137\u2013144 (1992)"},{"issue":"7","key":"52_CR12","doi-asserted-by":"publisher","first-page":"1333","DOI":"10.1007\/s00500-010-0674-z","volume":"15","author":"Z Zhang","year":"2011","unstructured":"Zhang, Z., Qian, S.: Artificial immune system in dynamic environments solving time-varying non-linear constrained multi-objective problems. Soft. Comput. 15(7), 1333\u20131349 (2011)","journal-title":"Soft. Comput."},{"key":"52_CR13","doi-asserted-by":"crossref","unstructured":"Wang, Y., Li, B.: Investigation of memory-based multi-objective optimization evolutionary algorithm in dynamic environment. In: 2009 IEEE Congress on Evolutionary Computation, pp. 630\u2013637. IEEE (2009)","DOI":"10.1109\/CEC.2009.4983004"},{"key":"52_CR14","doi-asserted-by":"crossref","unstructured":"Hatzakis, I., Wallace, D.: Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach. In: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, pp. 1201\u20131208. ACM (2006)","DOI":"10.1145\/1143997.1144187"},{"issue":"9","key":"52_CR15","doi-asserted-by":"publisher","first-page":"2633","DOI":"10.1007\/s00500-014-1433-3","volume":"19","author":"Z Peng","year":"2015","unstructured":"Peng, Z., Zheng, J.H., Zou, J., Liu, M.: Novel prediction and memory strategies for dynamic multi-objective optimization. Soft. Comput. 19(9), 2633\u20132653 (2015)","journal-title":"Soft. Comput."},{"key":"52_CR16","doi-asserted-by":"crossref","unstructured":"Fan, X., Weber, W.D., Barroso, L.A.: Power Provisioning for a Warehouse-sized computer. In: 34th ACM International Symposium on Computer Architecture, [S.l.]: [s.n.] (2007)","DOI":"10.1145\/1250662.1250665"},{"issue":"8","key":"52_CR17","doi-asserted-by":"publisher","first-page":"2388","DOI":"10.1109\/TCYB.2017.2739185","volume":"48","author":"Q Lin","year":"2018","unstructured":"Lin, Q., Jin, G., Ma, Y., Wang, K.C.: A diversity-enhanced resource allocation strategy for decomposition-based multi-objective evolutionary algorithm. IEEE Trans. Cybern. 48(8), 2388\u20132401 (2018)","journal-title":"IEEE Trans. Cybern."},{"key":"52_CR18","doi-asserted-by":"crossref","unstructured":"Tantar, E., Tantar, A.-A., Bouvry, O.: On dynamic multi-objective optimization, classification and performance measures. In: Proceedings of IEEE CEC, pp. 2759\u20132766 (2011)","DOI":"10.1109\/CEC.2011.5949964"},{"key":"52_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"803","DOI":"10.1007\/978-3-540-70928-2_60","volume-title":"Evolutionary Multi-Criterion Optimization","author":"K Deb","year":"2007","unstructured":"Deb, K., Rao N., U.B., Karthik, S.: Dynamic multi-objective optimization and decision-making using modified NSGA-II: a case study on hydro-thermal power scheduling. In: Obayashi, S., Deb, K., Poloni, C., Hiroyasu, T., Murata, T. (eds.) EMO 2007. LNCS, vol. 4403, pp. 803\u2013817. Springer, Heidelberg (2007). \nhttps:\/\/doi.org\/10.1007\/978-3-540-70928-2_60"},{"key":"52_CR20","unstructured":"Ji, L.Q.: Resource optimization for dynamic migration of virtual machines in cloud environment. Shenzhen University (2018)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-60802-6_52","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,13]],"date-time":"2020-10-13T14:40:22Z","timestamp":1602600022000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-60802-6_52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030608019","9783030608026"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-60802-6_52","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"5 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ic-ic.tongji.edu.cn\/2020\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}