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A framework for ranking cloud computing services


Garg, SK and Versteeg, S and Buyya, R, A framework for ranking cloud computing services, Future Generation Computer Systems, 29, (4) pp. 1012-1023. ISSN 0167-739X (2013) [Refereed Article]

Copyright Statement

Copyright 2012 Elsevier

DOI: doi:10.1016/j.future.2012.06.006


Cloud computing is revolutionizing the IT industry by enabling them to offer access to their infrastructure and application services on a subscription basis. As a result, several enterprises including IBM, Microsoft, Google, and Amazon have started to offer different Cloud services to their customers. Due to the vast diversity in the available Cloud services, from the customerís point of view, it has become difficult to decide whose services they should use and what is the basis for their selection. Currently, there is no framework that can allow customers to evaluate Cloud offerings and rank them based on their ability to meet the userís Quality of Service (QoS) requirements. In this work, we propose a framework and a mechanism that measure the quality and prioritize Cloud services. Such a framework can make a significant impact and will create healthy competition among Cloud providers to satisfy their Service Level Agreement (SLA) and improve their QoS. We have shown the applicability of the ranking framework using a case study.

Item Details

Item Type:Refereed Article
Keywords:cloud computing, service measurement, quality of service, service level agreement
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Distributed systems and algorithms
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Garg, SK (Dr Saurabh Garg)
ID Code:93813
Year Published:2013
Web of Science® Times Cited:520
Deposited By:Information and Communication Technology
Deposited On:2014-08-19
Last Modified:2017-11-18

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