Resource provisioning and work flow scheduling in clouds using augmented Shuffled Frog Leaping Algorithm

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• 作者：Parmeet Kaur ; ^{parmeetjs@yahoo.com}Author Vitae ; Shikha MehtaAuthor Vitae
• 关键词：Cloud computing ; Resource provisioning ; Scheduling ; Scientific workflow ; Shuffled frog leaping algorithm
• 刊名：Journal of Parallel and Distributed Computing
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：101
• 期：Complete
• 页码：41-50
• 全文大小：1650 K
• 卷排序：101

文摘

Meta-heuristic algorithms explored for workflow scheduling in clouds. An improvement proposed to the meta-heuristic algorithms. An augmented variation of Shuffled Frog Leaping Algorithm (ASFLA) formulated. Obtained solutions are execution cost optimal and also meet deadline constraint. ASFLA outperforms Particle Swarm Optimization and SFLA.