Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment

• Main Authors: Madni, S. H. H., Abd. Latiff, M. S., Abdullahi, M., Abdulhamid, S. M., Usman, M. J.
• Format: Article
• Language: English
• Published: Public Library of Science 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/74877/1/MuhammadShafie2017_PerformanceComparisonofHeuristicAlgorithms.pdf; http://eprints.utm.my/id/eprint/74877/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018742901&doi=10.1371%2fjournal.pone.0176321&partnerID=40&md5=c53531dcb3a126999805d242084354e7

Cloud computing infrastructure is suitable for meeting computational needs of large task sizes. Optimal scheduling of tasks in cloud computing environment has been proved to be an NP-complete problem, hence the need for the application of heuristic methods. Several heuristic algorithms have been dev...