10.35940/ijeat.D7908.049420
https://zenodo.org/records/5556079
oai:zenodo.org:5556079
Thasni T
Thasni T
Assistant Professor, CSE Department ,School Of Engineering ,Presidency University
C Kalaiarasan
C Kalaiarasan
Dean, School Of Engineering, Presidency University
K A Venkatesh
K A Venkatesh
Professor of Math and Computer Science, Myanmar Institute of Information Technology,73rd Street, Ngu Shwe War, Chanmyathazi Township, Mandalay, Myanmar.
Cloud Service Selection using DEA based on SMI Attributes
Zenodo
2020
MCDM, DEA SMI, Cloud Service, QoS, CSMIC
Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)
Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)
Publisher
2020-04-30
eng
2249-8958
Creative Commons Attribution 4.0 International
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.