Cloud-based load balancing using double Q-learning for improved Quality of Service-Reference-Cited by-同舟云学术

Cloud-based load balancing using double Q-learning for improved Quality of Service

Published:2018-11-27 Issue: Volume: Page:
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Tennakoon Deepal,Chowdhury Morshed,Luan Tom H.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s11276-018-1888-8.pdf

Reference14 articles.

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2. Dasgupta, K., Mandal, B., Dutta, P., Mandal, J. K., & Dam, S. (2013). A genetic algorithm (ga) based load balancing strategy for cloud computing. Procedia Technology, 10, 340–347.

3. Domanal, S. G., & Reddy, G. R. M. (2013). Load balancing in cloud computingusing modified throttled algorithm. In IEEE international conference on cloud computing in emerging markets (CCEM) (pp. 1–5).

4. Iyer, B., & Henderson, J. C. (2010) Preparing for the future: Understanding the seven capabilities cloud computing. MIS Quarterly Executive, 9(2), 117–131.

5. James, J., & Verma, B. (2012). Efficient VM load balancing algorithm for a cloud computing environment. International Journal on Computer Science and Engineering, 4(9), 1658.

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