A Task Scheduling Method after Clustering for Data Intensive Jobs in Heterogeneous Distributed Systems-Reference-Cited by-同舟云学术

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A Task Scheduling Method after Clustering for Data Intensive Jobs in Heterogeneous Distributed Systems

Published:2016-03-30 Issue:1 Volume:10 Page:9-20
ISSN:1976-4677
Container-title:Journal of Computing Science and Engineering
language:en
Short-container-title:Journal of Computing Science and Engineering

Author:

Hajikano Kazuo,Kanemitsu Hidehiro,Kim Moo Wan,Kim Hee-Dong

Publisher

Korean Institute of Information Scientists and Engineers

Subject

Computer Science Applications,General Engineering

Cited by 4 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. A Cost-Optimized Data Parallel Task Scheduling in Multi-Core Resources Under Deadline and Budget Constraints;International Journal of Cloud Applications and Computing;2022-07-26

2. A Cost-Optimized Data Parallel Task Scheduling with Deadline Constraints in Cloud;Electronics;2022-06-28

3. CLUSTER-BASED PRIORITY LIST GENERATION FOR RESOURCE- CONSTRAINED PROJECT SCHEDULING PROBLEMS;INT J IND ENG-THEORY;2022

4. A Clustering Algorithm for Communication-Aware Scheduling of Task Graphs on Multi-Core Reconfigurable Systems;IEEE Transactions on Parallel and Distributed Systems;2017-10-01

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