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Makespan minimization for MapReduce systems with different servers

  • Published:2017-02 Issue: Volume:67 Page:13-21
  • ISSN:0167-739X
  • Container-title:Future Generation Computer Systems
  • language:en
  • Short-container-title:Future Generation Computer Systems

Author:

Jiang Yiwei,Zhu Yuqing,Wu Weili,Li Deying

Funder

National Natural Science Foundation of China

Zhejiang Province Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference28 articles.

1. Mapreduce, simplified data processing on large clusters;Dean;Commun. ACM,2008

2. On scheduling in map-reduce and flow-shops;Moseley,2011

3. Minimizing makespan and total completion time in mapreduce-like systems;Zhu,2014

4. Joint scheduling of processing and shuffle phases in mapreduce systems;Chen,2012

5. Joint scheduling of mapreduce jobs with servers: Performance bounds and experiments;Yi,2014

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1. Algorithms for the semi-online MapReduce scheduling problem on two identical machines;Journal of Intelligent & Fuzzy Systems;2024-04-12

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

3. MapReduce scheduling algorithms in Hadoop: a systematic study;Journal of Cloud Computing;2023-10-10

4. HTD: heterogeneous throughput-driven task scheduling algorithm in MapReduce;Distributed and Parallel Databases;2021-10-28

5. SPO: A Secure and Performance-aware Optimization for MapReduce Scheduling;Journal of Network and Computer Applications;2021-02
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