Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Computational MADM evaluation and ranking of cloud service providers using distance-based approach

Computational MADM evaluation and ranking of cloud service providers using distance-based approach The advancements in the information technology have emerged a new approach in the field of distributed computing referred as cloud computing that has garnered tremendous popularity in the short time span. Cloud computing is one type of internet-based computing in which the service providers provide the various services and resources in the sharable mode to the cloud customers on demand. As a result of the rapid growth of this approach, most of the IT companies such as IBM, HP, Microsoft, Amazon, Google have started to offer various cloud services to the users. Due to the huge availability of the cloud service providers, it becomes extremely challenging from the customer's point of view to select the most suited cloud service provider (CSP). In this research, the problem of the CSP selection is formulated as multi-attribute decision making problem and distance-based approximation (DBA) method is anticipated to solve the problem. In order to validate the applicability of the proposed method, the results are compared with the well known methodology, namely analytical hierarchy process (AHP) and fuzzy-AHP. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Information and Decision Sciences Inderscience Publishers

Computational MADM evaluation and ranking of cloud service providers using distance-based approach

Loading next page...
 
/lp/inderscience-publishers/computational-madm-evaluation-and-ranking-of-cloud-service-providers-Zi2dh7vxPK

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1756-7017
eISSN
1756-7025
DOI
10.1504/IJIDS.2018.093930
Publisher site
See Article on Publisher Site

Abstract

The advancements in the information technology have emerged a new approach in the field of distributed computing referred as cloud computing that has garnered tremendous popularity in the short time span. Cloud computing is one type of internet-based computing in which the service providers provide the various services and resources in the sharable mode to the cloud customers on demand. As a result of the rapid growth of this approach, most of the IT companies such as IBM, HP, Microsoft, Amazon, Google have started to offer various cloud services to the users. Due to the huge availability of the cloud service providers, it becomes extremely challenging from the customer's point of view to select the most suited cloud service provider (CSP). In this research, the problem of the CSP selection is formulated as multi-attribute decision making problem and distance-based approximation (DBA) method is anticipated to solve the problem. In order to validate the applicability of the proposed method, the results are compared with the well known methodology, namely analytical hierarchy process (AHP) and fuzzy-AHP.

Journal

International Journal of Information and Decision SciencesInderscience Publishers

Published: Jan 1, 2018

There are no references for this article.