Abstract
Cloud computing allows on-demand access and fast network connection to a shared resource pool. Most companies are switching to Cloud due to the popularity and benefits of using Cloud Services. So finding a suitable and best cloud provider is a challenge for all users. Several ranking methods, such as AHP, TOPSIS, had been suggested to solve this problem by multicriteria decision making techniques. But, many of the works focused on a subset of the main QoS attributes for ranking. Cloud Services Measurement Initiatives Consortium (CSMIC) has released Service Measurement Index attributes for effectively comparing the Cloud services. The comparison of services provided by cloud based on SMI attributes which are qualitative as well as quantitative in nature is studied in this paper by one of the non-parametric methods called Data Envelopment Analysis (DEA) and ranked the cloud services based on the efficiency scores obtained by DEA. The cloud users can select the best suitable Cloud service using the proposed approach that best suit their QoS requirements.
Highlights
Generation computing platform Cloud computing is growing and emerging rapidly
This paper proposes an approach to choose an ideal cloud service provider based on the QoS attributes of cloud services among different solutions
In compliance with the International Organization for Standardization (ISO) specifications, SMI attributes have been defined in Cloud Services Measurement Initiatives Consortium (CSMIC) [2]
Summary
Generation computing platform Cloud computing is growing and emerging rapidly. The Internet provides access to a range of computer resources. Cloud-based services concentrate on user computing, software and data. Various methods for the ranking of cloud services are suggested by various authors. A better MCDM approach may be needed to meet customer requirements and identify the cloud services on the basis of their skill. This paper proposes an approach to choose an ideal cloud service provider based on the QoS attributes of cloud services among different solutions. For the evaluation and selection of Cloud Service Provider Selection, Azadi et al proposed a new approach called Data Envelopment Analysis which concentrates on SMI attributes for the ranking of Providers [5].Data Envelopment Analysis is a powerful analytical investigative tool that has been recognized to help realistic decisions.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Engineering and Advanced Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
