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A Heuristic Approach for Service Allocation in Cloud Computing

A Heuristic Approach for Service Allocation in Cloud Computing

Ahmad Sharieh, Layla Albdour
Copyright: © 2017 |Volume: 7 |Issue: 4 |Pages: 15
ISSN: 2156-1834|EISSN: 2156-1826|EISBN13: 9781522515043|DOI: 10.4018/IJCAC.2017100104
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MLA

Sharieh, Ahmad, and Layla Albdour. "A Heuristic Approach for Service Allocation in Cloud Computing." IJCAC vol.7, no.4 2017: pp.60-74. http://doi.org/10.4018/IJCAC.2017100104

APA

Sharieh, A. & Albdour, L. (2017). A Heuristic Approach for Service Allocation in Cloud Computing. International Journal of Cloud Applications and Computing (IJCAC), 7(4), 60-74. http://doi.org/10.4018/IJCAC.2017100104

Chicago

Sharieh, Ahmad, and Layla Albdour. "A Heuristic Approach for Service Allocation in Cloud Computing," International Journal of Cloud Applications and Computing (IJCAC) 7, no.4: 60-74. http://doi.org/10.4018/IJCAC.2017100104

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Abstract

Cloud computing systems are considered complex systems, because of the various classes of services offered for users and the big challenges for providers to meet the increasing demands. Thus, service allocation is a critical issue in cloud computing. Fuzzy modeling is one choice to deal with such complexity. In this paper, the authors introduce a new heuristic service allocation model for cloud computing service allocation. Fuzzy sets are used to determine a candidate cloud for providing a service and crisp sets are used to serve requests from a cloud. Supply and demand are used as the fuzzy input to provide the desired heuristic allocation model for the candidate cloud, and a set of parameters are used to determine a cloud user needs.

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