Main Reference PaperPRISM:Fine-Grained Resource-Aware Scheduling for MapReduce, IEEE Transactions on Cloud Computing, April-June 2015.
  • This paper proposes, technique to efficiently utilize the task resources in mapreduce phase that reduce the execution time of job. To achieve the resource utilization, this work propose a phase-level scheduling algorithm called PRISM. A fine-grained resource-aware MapReduce scheduler divides the tasks into phases, where each phase has a constant resource usage profile and performs scheduling at the phase level.

+ Description
  • This paper proposes, technique to efficiently utilize the task resources in mapreduce phase that reduce the execution time of job. To achieve the resource utilization, this work propose a phase-level scheduling algorithm called PRISM. A fine-grained resource-aware MapReduce scheduler divides the tasks into phases, where each phase has a constant resource usage profile and performs scheduling at the phase level.

  • To improve the job running time and resource utilization.

  • To Improve the data locality.

+ Aim & Objectives
  • To improve the job running time and resource utilization.

  • To Improve the data locality.

  • The better scheduler scheme is contributed, the resource utilization can be predicted by looking at the current resource usage of the task or by user supplied characteristics. Such a scheduler would be a learning scheduler that can classify tasks in CPU bound and IO bound categories and assign jobs as appropriate.

+ Contribution
  • The better scheduler scheme is contributed, the resource utilization can be predicted by looking at the current resource usage of the task or by user supplied characteristics. Such a scheduler would be a learning scheduler that can classify tasks in CPU bound and IO bound categories and assign jobs as appropriate.

  • Java JDK 1.8, MySQL 5.5.40, Hadoop 1.2.1.

  • IntelliJ IDEA 15.0.2, J2EE, Hadoop.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40, Hadoop 1.2.1.

  • IntelliJ IDEA 15.0.2, J2EE, Hadoop.

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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