Implementation of K-means clustering for evaluating SaaS on the cloud computing environment

作者: Dhanamma Jagli , Seema Purohit , Subash Chandra Nalla

DOI: 10.1109/ICTBIG.2016.7892687

关键词:

摘要: The current trend in the technology have been drastically changed. usage of latest technology, cloud computing become a central attraction everywhere for sharing resources. Software as Service (SaaS) is most important part computing, it can be used providing various business solutions. In real world, many organizations had successfully implemented this concept. Henceforth demand has tremendously increased by end users well service provider, but still, big challenging task providers to evaluate their services, provided user. It also difficult find out potential software services environment. paper, solution evaluating SaaS quality attributes using K-means clustering algorithm. This paper initially, describes motivation on cloud-computing environment with problem description. Secondly, it's describing issues and challenges computing. Thirdly, explains about proposed work Service. Finally, identified analyzed results.

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