Near-optimal dynamic priority scheduling strategy for instance-intensive business workflows in cloud computing

Author:

Xu Rongbin123ORCID,Wang Yeguo2,Huang Wei2,Yuan Dong4,Xie Ying15,Yang Yun26

Affiliation:

1. Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education; Anhui University; Hefei 230039 China

2. School of Computer Science and Technology; Anhui University; Hefei Anhui Province China

3. Co-Innovation Center for Information Supply & Assurance Technology; Anhui University; Hefei 230601 China

4. School of Electrical and Information Engineering; University of Sydney; Sydney Australia

5. Computer Studies Department; Anhui University; Hefei Anhui Province China

6. School of Software and Electrical Engineering; Swinburne University of Technology; Melbourne Australia

Funder

National Natural Science Foundation of China

Australian Research Council

MOE Youth Project of Humanities and Social Sciences

Natural Science Foundation of Anhui Province

Humanities and Social Sciences in Universities of Anhui Province

Anhui University Doctor Startup Fund

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference36 articles.

Cited by 16 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

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2. Current Trends in Cloud Computing for Data Science Experiments;International Journal of Cloud Applications and Computing;2021-10

3. Scheduling of workflow jobs based on twostep clustering and lowest job weight;Concurrency and Computation: Practice and Experience;2021-04-21

4. Computation of workflow scheduling using backpropagation neural network in cloud computing: a virtual machine placement approach;The Journal of Supercomputing;2021-02-08

5. Seeding-Based Multi-Objective Evolutionary Algorithms for Multi-Cloud Composite Applications Deployment;2020 IEEE International Conference on Services Computing (SCC);2020-11

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