A Weighted K-Means Clustering Based Co-scheduling Strategy towards Efficient Execution of Scientific Workflows in Collaborative Cloud Environments-Reference-Cited by-同舟云学术

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A Weighted K-Means Clustering Based Co-scheduling Strategy towards Efficient Execution of Scientific Workflows in Collaborative Cloud Environments

Published:2011-12 Issue: Volume: Page:
ISSN:
Container-title:2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing
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Author:

Deng Kefeng,Kong Lingmei,Song Junqiang,Ren Kaijun,Yuan Dong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6118336/6118342/06118736.pdf?arnumber=6118736

Cited by 14 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. Enhancement of Cloud Performance using the Clustering Method of Scientific Workflow Task;2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS);2023-10-27

2. Data privacy‐based coordinated placement method of workflows and data;IET Cyber-Physical Systems: Theory & Applications;2020-10-21

3. A Data and Task Co-Scheduling Algorithm for Scientific Cloud Workflows;IEEE Transactions on Cloud Computing;2020-04-01

4. Coordinated Placement of Meteorological Workflows and Data with Privacy Conflict Protection;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2020

5. A highly efficient algorithm towards optimal data storage and regeneration cost in multiple clouds;Future Generation Computer Systems;2019-10

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