Hybrid glowworm swarm optimization for task scheduling in the cloud environment-Reference-Cited by-同舟云学术

Hybrid glowworm swarm optimization for task scheduling in the cloud environment

Published:2017-08-23 Issue:6 Volume:50 Page:949-964
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Zhou Jing¹,Dong Shoubin¹

Affiliation:

1. Computer Network and Communication Laboratory of Guangdong, School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, PR China

Funder

Guangdong Natural Science Foundation

Guangdong Science and Technology Department

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2017.1361418

Reference28 articles.

1. Adil, S. H., K. Raza, U. Ahmed, S. S. A. Ali, and M. Hashmani. 2015. “Cloud task scheduling using nature inspired meta-heuristic algorithm.” 2015 International Conference on Open Source Systems & Technologies (ICOSST), Lahore, Pakistan, 17–19 Dec. 2015.

2. Agrawal, K., and P. Tripathi. 2015. “Power Aware Artificial Bee Colony Virtual Machine Allocation for Private Cloud Systems.” 2015 International Conference on Computational Intelligence and Communication Networks (CICN), Jabalpur, India, 12–14 Dec. 2015.

3. A hybrid meta-heuristic algorithm for optimization of crew scheduling

4. Evolutionary computation: comments on the history and current state

5. Chen, Huankai, F. Wang, N. Helian, and G. Akanmu. 2013. “User-priority guided Min-Min scheduling algorithm for load balancing in cloud computing.” 2013 National Conference on Parallel Computing Technologies (PARCOMPTECH), Bangalore, India, 21–23 Feb. 2013.

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