A Hybrid Clustering Model to Evaluate Quality of Software Services on Cloud Environment

Abstract

Cloud computing is emerging as an innovative paradigm in the field of Internet-based services in many software and hardware industries. The benefits that it provides in terms of cost, flexibility, efficient technology and business ability represent a huge competitive advantage for an organization. This is proven to be an essential requirement for extending several existing applications. In order to utilize the entire rewards of the SaaS model proficiently and successfully,
there should be a suitable quality model to evaluate the SaaS quality. In fact, service-providers must evaluate their services against needs of service-user to increase their services. The existing SaaS quality evaluation models lack focus on all aspects of quality and services together. 

On the other hand, each cloud service user is unique that leads to a very huge variation in the requirements of the software services. Therefore, this paper presents a hybrid model to help service users to opt a better SaaS product to satisfy their environment and needs. The proposed Hybrid model is implemented by using a hybrid clustering algorithm to construct clusters of SaaS products.