文章基本信息

标题：Energy-Aware Task Scheduling Using Hybrid Firefly-BAT (FFABAT) in Big Data
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作者：M. Senthilkumar
期刊名称：Cybernetics and Information Technologies
印刷版ISSN：1311-9702
电子版ISSN：1314-4081
出版年度：2018
卷号：18
期号：2
页码：98-111
DOI：10.2478/cait-2018-0031
出版社：Bulgarian Academy of Science
摘要：In modern times there is an increasing trend of applications for handling Big data. However, negotiating with the concepts of the Big data is an extremely difficult issue today. The MapReduce framework has been in focus recently for serious consideration. The aim of this study is to get the task-scheduling over Big data using Hadoop. Initially, we prioritize the tasks with the help of k-means clustering algorithm. Then, the MapReduce framework is employed. The available resource is optimally selected using optimization technique in map-phase. The proposed method uses the FireFly Algorithm and BAT algorithms (FFABAT) for choosing the optimal resource with minimum cost value. The bat-inspired algorithm is a meta-heuristic optimization method developed by Xin-She Yang (2010). This bat algorithm is established on the echo-location behaviour of micro-bats with variable pulse rates of emission and loudness. Finally, the tasks are scheduled with the optimal resource in reducer-phase and stored in the cloud. The performance of the algorithm is analysed, based on the total cost, time and memory utilization.
关键词：Map reduce framework; task scheduling; firefly algorithm;; BAT Algorithm; Hadoop; k-Means clustering; Hadoop; HDFS.