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Dynamic Job Ordering and Slot Configurations for MapReduce Workloads

  • Published:2016-01-01 Issue:1 Volume:9 Page:4-17
  • ISSN:1939-1374
  • Container-title:IEEE Transactions on Services Computing
  • language:
  • Short-container-title:IEEE Trans. Serv. Comput.

Author:

Tang Shanjiang,Lee Bu-Sung,He Bingsheng

Funder

Singapore National Research Foundation

Water Technologies Strategic Research Programme

Environment & Water Industry Programme Office (EWI)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance Challenges and Solutions in Big Data Platform Hadoop;Recent Advances in Computer Science and Communications;2023-11

2. Improvement of Makespan and TCTime in Dynamic Job Ordering and Slot Utilization for MapReduce Workloads;Intelligent Computing and Networking;2023

3. New Scheduling Algorithms for Improving Performance and Resource Utilization in Hadoop YARN Clusters;IEEE Transactions on Cloud Computing;2021-07-01

4. Research on the Method and Application of MapReduce in Mobile Track Big Data Mining;Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering);2021-01-22

5. Designing a MapReduce performance model in distributed heterogeneous platforms based on benchmarking approach;The Journal of Supercomputing;2020-01-16
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