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  • 标题:SURVEY ON ADAPTIVE JOB SCHEDULERS IN MAPREDUCE
  • 本地全文:下载
  • 作者:MAEDEH MOZAKKA ; FARAMARZ SAFI ESFAHANI ; MOHAMMAD H. NADIMI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2014
  • 卷号:66
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:In recent years the adaptive job schedulers became an attraction point to many researchers, but despite many efforts that have been made, there are still many challenges in this area. The aim of this paper is to provide a better understanding of adaptive job schedulers in MapReduce and identify important research directions in this area. In this paper, adaptive job schedulers in MapReduce are classified in four categories. The techniques used in them are described briefly, we present advantages and disadvantages of different adaptive schedulers and then their features and the application of each category of the schedulers are expressed. Finally, we will discuss some current challenges and future works.
  • 关键词:Adaptive Job Scheduler; Cloud Computing; Hadoop; Job Scheduling; MapReduce.
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