{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,8,20]],"date-time":"2023-08-20T01:05:25Z","timestamp":1692493525269},"reference-count":14,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J CIRCUIT SYST COMP"],"published-print":{"date-parts":[[2018,2]]},"abstract":"<jats:p> The present paper describes a hybrid self-adaptive learning global search algorithm and firefly algorithm (HSLGSAFA)-based model for task scheduling in cloud computing. The proposed hybrid model combines gravitational search algorithm (GSA), which has been successfully scheduling the task in the application, with the use of SL strategy and the FA. The basic scheme of our approach is to utilize the benefits of both SLGSA algorithm and firefly algorithm and not including their disadvantages. In HSLGSAFA, each dimension of a solution represents a task and a solution as a whole signifies all tasks\u2019 priorities. The vital issue is how to allocate users\u2019 tasks to exploit the income of Infrastructure as a Service (IaaS) provider while promising Quality-of-Service (QoS). The generated solution is proficient to assure user-level QoS and improve IaaS providers\u2019 credibility and economic benefit. The HSLGSAFA method also used to design the hybridization process and suitable fitness function of the corresponding task. According to the evolved results, it has been found that our algorithm always outperforms the traditional algorithms. <\/jats:p>","DOI":"10.1142\/s0218126618500184","type":"journal-article","created":{"date-parts":[[2017,7,7]],"date-time":"2017-07-07T03:08:08Z","timestamp":1499396888000},"page":"1850018","source":"Crossref","is-referenced-by-count":9,"title":["An Efficient Hybridization Algorithm Based Task Scheduling in Cloud Environment"],"prefix":"10.1142","volume":"27","author":[{"given":"P.","family":"Neelima","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, JNTUA College of Engineering, JNT University Anantapur, Anantapur 515002, Andhra Pradesh, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Rama Mohan Reddy","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, SVU College of Engineering, SV University, Tirupati 517502, Andhra Pradesh, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2017,9,11]]},"reference":[{"key":"S0218126618500184BIB001","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2008.12.001"},{"key":"S0218126618500184BIB004","doi-asserted-by":"publisher","DOI":"10.14445\/22312803\/IJCTT-V9P163"},{"key":"S0218126618500184BIB008","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2012.01.006"},{"key":"S0218126618500184BIB011","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2004.38"},{"key":"S0218126618500184BIB021","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2013.2272758"},{"key":"S0218126618500184BIB022","first-page":"617","volume":"57","author":"Kumar P.","year":"2013","journal-title":"J. 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