Abbas, Sagheer and Alyas, Tahir and Athar, Atifa and Khan, Muhammad Adnan and Fatima, Areej and Khan, Waseem Ahmad (2019) Cloud Services Ranking by measuring Multiple Parameters using AFIS. EAI Endorsed Transactions on Scalable Information Systems, 6 (22): e4. ISSN 2032-9407
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eai.13-7-2018.159354.pdf - Published Version Available under License Creative Commons Attribution No Derivatives. Download (2MB) | Preview |
Abstract
Assigning a level to a number of choices is referred to as ranking. The concept of ranking is applied in many situations, wherein, team rankings, player rankings, university rankings, and country rankings are commonly used 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).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Web Services, Cloud Services, Ranking, AFIS |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science QA75 Electronic computers. Computer science |
| Depositing User: | EAI Editor II. |
| Date Deposited: | 08 Oct 2020 13:54 |
| Last Modified: | 08 Oct 2020 13:54 |
| URI: | https://eprints.eudl.eu/id/eprint/700 |
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