A Hybrid Approach for Clustering and Selecting of Cloud Services Based on User Preferences Evaluation-Reference-Cited by-同舟云学术

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A Hybrid Approach for Clustering and Selecting of Cloud Services Based on User Preferences Evaluation

Published:2020-07-11 Issue: Volume: Page:63-70
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Hioual Ouassila,Hioual Ouided,Hemam Sofiane Mounine

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-51156-2_9

Reference19 articles.

1. Hioual, O., Boufaïda, Z., Hemam, S.M.: Load balancing, cost and response time minimisation issues in agent-based multi cloud service composition. Int. J. Internet Protoc. Technol. 10, 73–88 (2017). https://doi.org/10.1504/IJIPT.2017.085187

2. Lloyd, S.: Least squares quantization in PCM. IEEE Trans. Inf. Theory 28, 129–137 (1982)

3. Hemam, S.M., Hioual, O.: A hybrid load balancing algorithm for P2P-cloud system aware of constraints optimisation of cost and reliability criteria. Int. J. Internet Protoc. Technol. 10, 99–114 (2017). https://doi.org/10.1504/IJIPT.2017.085189

4. Zeng, W., Zhao, Y., Zeng, J.: Cloud service and service selection algorithm research. In: Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation. pp. 1045–1048 (2009)

5. Kang, J., Sim, K.M.: Cloudle: a multi-criteria cloud service search engine. In: 2010 IEEE Asia-Pacific Services Computing Conference, pp. 339–346. IEEE (2010)

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