A Parallelism-Based Earliest Finish Time (PBEFT) Algorithm for Workflow Scheduling in Clouds-Reference-Cited by-同舟云学术

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A Parallelism-Based Earliest Finish Time (PBEFT) Algorithm for Workflow Scheduling in Clouds

Published:2022-04-22 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)
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Author:

Wu Xiaojun¹,Cheng Sijia¹,Yuan Sheng¹,Wang Ziyi¹

Affiliation:

1. School of Software Engineering, Xi'an Jiaotong University,Xi'an,China,710049

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9778228/9778283/09778917.pdf?arnumber=9778917

Reference9 articles.

1. Performance Modeling and Workflow Scheduling of Microservice-Based Applications in Clouds

2. DBEFT: A Dependency-Ratio Bundling Earliest Finish Time Algorithm for Heterogeneous Computing

3. Ant Colony Algorithm for Multi-Objective Optimization of Container-Based Microservice Scheduling in Cloud

4. Task Duplication-Based Scheduling Algorithm for Budget-Constrained Workflows in Cloud Computing

5. Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach[J];chen;IEEE Transactions on Cybernetics,2018

Cited by 2 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 Provenance-Aware Approach to Big Data Workflow Management in Heterogeneous Cloud Environments;2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA);2024-04-25

2. Blueprint: A Toolchain for Highly-Reconfigurable Microservice Applications;Proceedings of the 29th Symposium on Operating Systems Principles;2023-10-23

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