Ranking of Cloud Service Providers using Multi Layered TOPSIS
Kanagaraj K*, Assistant Professor, MCA Department, MEPCO Schlenk Engineering College, Sivakasi, Tamilnadu, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 3727-3730 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9035038620/2020©BEIESP | DOI: 10.35940/ijrte.F9035.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing is one of the popular technological advancement in the current IT industry. The multifaceted benefits of cloud computing has attracted huge number of public and industrial customers. There are numerous cloud service providers available with variations in type and cost of resources. This makes it very difficult to select a suitable service provider. The Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) is a popular method used of ranking service providers. However it reuires parameters that belong to a same category and rating scale. In this research we propose M-TOPSIS (Multilayer TOPSIS), a technique for ranking of service providers based on different categories with multiple parameters having different rating scales. The proposed technique applies TOPSIS for each category of input. The ranking of service provider in each category is then used to rank the available service providers, based on the overall performance. The efficiency of the proposed technique is compared with the existing models and the experimental results proved that the M-TOPSIS is able to rank service providers more accurately than the other existing models like E-FPROMTHEN.
Keywords: Service Provider, Ranking, M-TOPSIS, Cloud..
Scope of the Article: Service Discovery And Composition.