FACO: a hybrid fuzzy ant colony optimization algorithm for virtual machine scheduling in high-performance cloud computing-Reference-Cited by-同舟云学术

FACO: a hybrid fuzzy ant colony optimization algorithm for virtual machine scheduling in high-performance cloud computing

Published:2019-12-13 Issue:10 Volume:11 Page:3975-3987
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Ragmani Awatif^ORCID,Elomri Amina,Abghour Noreddine,Moussaid Khalid,Rida Mohammed

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-019-01631-5.pdf

Reference32 articles.

1. Arunarani A, Manjula D, Sugumaran V (2019) Task scheduling techniques in cloud computing: a literature survey. Future Gener Comput Syst 91:407–415

2. Boveiri HR, Khayami R, Elhoseny M, Gunasekaran M (2019) An efficient Swarm-Intelligence approach for task scheduling in cloud-based internet of things applications. J Ambient Intell Human Comput 10(9):3469–3479

3. Bui KT, Pham TV, Tran HC (2017) A load balancing game approach for VM provision cloud computing based on ant colony optimization. In: Cong Vinh P, Tuan Anh L, Loan NTT, Vongdoiwang Siricharoen W (eds) Context-aware systems and applications, vol 193. Springer International Publishing, Cham, pp 52–63

4. Cingolani P, Alcalá-Fdez J (2013) jFuzzyLogic: a Java library to design fuzzy logic controllers according to the standard for fuzzy control programming. Int J Comput Intell Syst 6(sup1):61–75

5. Dorigo M, Birattari M, Stützle T (2006) Ant Colony Optimization Artificial Ants as a Computational Intelligence Technique. IRIDIA—TECHNICAL REPORT SERIES TR/IRIDIA/2006-023

Cited by 44 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. Optimized task scheduling approach with fault tolerant load balancing using multi-objective cat swarm optimization for multi-cloud environment;Applied Soft Computing;2024-11

2. Deep reinforcement learning-based methods for resource scheduling in cloud computing: a review and future directions;Artificial Intelligence Review;2024-04-23

3. Optimizing task scheduling in cloud computing: a hybrid artificial intelligence approach;Cogent Engineering;2024-03-20

4. A novel multi-level hybrid load balancing and tasks scheduling algorithm for cloud computing environment;The Journal of Supercomputing;2024-03-06

5. Query Optimization in Distributed Database Based on Improved Artificial Bee Colony Algorithm;Applied Sciences;2024-01-19