{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:51:58Z","timestamp":1761897118993,"version":"3.37.3"},"reference-count":27,"publisher":"World Scientific Pub Co Pte Ltd","issue":"10","funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61802185","61272420","61872185","61502234"],"award-info":[{"award-number":["61802185","61272420","61872185","61502234"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the Natural Science Foundation of Jiangsu Province","award":["BK20180470","BK20150785"],"award-info":[{"award-number":["BK20180470","BK20150785"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J CIRCUIT SYST COMP"],"published-print":{"date-parts":[[2020,8]]},"abstract":"<jats:p> Most popular scientific workflow systems can now support the deployment of tasks to the cloud. The execution of workflow on cloud has become a multi-objective scheduling in order to meet the needs of users in many aspects. Cost and makespan are considered to be the two most important objects. In addition to these, there are some other Quality-of-Service (QoS) parameters including system reliability, energy consumption and so on. Here, we focus on three objectives: cost, makespan and system reliability. In this paper, we propose a Multi-objective Evolutionary Algorithm on the Cloud (MEAC). In the algorithm, we design some novel schemes including problem-specific encoding and also evolutionary operations, such as crossover and mutation. Simulations on real-world and random workflows are conducted and the results show that MEAC can get on average about 5% higher hypervolume value than some other workflow scheduling algorithms. <\/jats:p>","DOI":"10.1142\/s0218126620501674","type":"journal-article","created":{"date-parts":[[2019,11,15]],"date-time":"2019-11-15T09:56:54Z","timestamp":1573811814000},"page":"2050167","source":"Crossref","is-referenced-by-count":8,"title":["Makespan\u2013Cost\u2013Reliability-Optimized Workflow Scheduling Using Evolutionary Techniques in Clouds"],"prefix":"10.1142","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5187-6235","authenticated-orcid":false,"given":"Xiumin","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing, Jiangsu 210094, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gongxuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing, Jiangsu 210094, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tian","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing, Jiangsu 210094, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingyue","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing, Jiangsu 210094, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiji","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing, Jiangsu 210094, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing, Jiangsu 210094, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2019,12,30]]},"reference":[{"key":"S0218126620501674BIB001","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2014.10.008"},{"key":"S0218126620501674BIB002","doi-asserted-by":"publisher","DOI":"10.1109\/GRID.2005.1542733"},{"key":"S0218126620501674BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-0000(75)80008-0"},{"key":"S0218126620501674BIB004","doi-asserted-by":"publisher","DOI":"10.1109\/71.993206"},{"key":"S0218126620501674BIB005","doi-asserted-by":"publisher","DOI":"10.1142\/S0218126619501597"},{"key":"S0218126620501674BIB006","doi-asserted-by":"publisher","DOI":"10.1109\/CloudCom.2013.48"},{"key":"S0218126620501674BIB007","doi-asserted-by":"publisher","DOI":"10.1007\/s10723-014-9294-7"},{"key":"S0218126620501674BIB008","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2015.07.014"},{"key":"S0218126620501674BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/GRID.2007.4354110"},{"key":"S0218126620501674BIB010","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2015.2446459"},{"key":"S0218126620501674BIB011","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-013-1059-8"},{"key":"S0218126620501674BIB012","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27172-4_23"},{"key":"S0218126620501674BIB013","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-013-0325-0"},{"key":"S0218126620501674BIB014","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.10.046"},{"key":"S0218126620501674BIB015","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2015.07.021"},{"key":"S0218126620501674BIB016","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2019.08.004"},{"key":"S0218126620501674BIB017","doi-asserted-by":"publisher","DOI":"10.7873\/DATE.2013.149"},{"key":"S0218126620501674BIB018","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2017.07.032"},{"journal-title":"IEEE Trans. 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