CLOUDSME

Author:

Otuka Richard1

Affiliation:

1. University of East London, UK

Abstract

Presently, SMEs are finding it difficult to adopt cloud services for their businesses due to various service providers offering similar services. In addition, little work has been carried out in regards to the cloud services adoption process by SMEs. In this chapter, the authors propose CLOUDSME, a novel framework that aids in the adoption process of SaaS cloud services. Accordingly, they implement a decision support system, which includes an ontology of cloud services knowledge within the proposed framework. Analytical hierarchical process (AHP) is used to determine the weight of each cloud service attribute, and a benchmark is set to determine the acceptability of each cloud service based on its ability to meet the acceptable benchmark for each criteria. It can also help in a healthy competition to improve the quality of service among cloud service providers. The CLOUDSME semantic model will guide SME owners in answering user requirements towards decision making in the cloud service adoption process.

Publisher

IGI Global

Reference20 articles.

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4. A Method and Framework for Quality of Cloud Services Measurement.;D.Boa;3rd International Conference on Advanced Computer Theory and Engineering (ICACTE),2010

5. Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility

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