Cloud Services Ranking by measuring Multiple Parameters using AFIS

Assigning a level to a number of choices is referred to as ranking. The concept of ranking is applied in manysituations, wherein, team rankings, player rankings, university rankings, and country rankings are commonlyused these days. Similarly, in cloud standardization, ranking the web services is a...

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Bibliographic Details
Main Authors: Sagheer Abbas, Tahir Alyas, Atifa Athar, Muhammad Khan, Areej Fatima, Waseem Khan
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2019-07-01
Series:EAI Endorsed Transactions on Scalable Information Systems
Subjects:
Online Access:https://eudl.eu/pdf/10.4108/eai.13-7-2018.159354
Description
Summary:Assigning a level to a number of choices is referred to as ranking. The concept of ranking is applied in manysituations, wherein, team rankings, player rankings, university rankings, and country rankings are commonlyused these days. Similarly, in cloud standardization, ranking the web services is a principal concern, as it is a relatively new approach, assigning ranks to cloud facilities has gained significant attention from researchers across the globe. Furthermore, cloud services standardization is an important idea as it is necessary if it is required to assign ranking for cloud services. There are few limitations in cloud standardization as there is no technique to check valid services and its classifications, wherein, the standardization of cloud services will play a major role in controlling the redundancy of cloud services. In this article, a new cloud service ranking method is proposed using an Adaptive Fuzzy Inference System (AFIS).
ISSN:2032-9407