Cloud service providers ranking based on service delivery and consumer experience

Abstract

Abstract-Searching of the appropriate cloud services according to consumers' requirements is becoming a complex task, as the number of cloud service providers (CSPs) that offer similar kind of cloud services increases. Service level agreements (SLAs) are commitments of CSPs to their cloud users, but there are only a few simplistic verification mechanisms which ensure that CSPs are delivering cloud services according to service committed. We propose a CSP ranking model based on service delivery measurements and user experience. To rank and select the appropriate CSPs, an intuitionistic fuzzy group decision making is used, as it can include both measurable and non-measurable factors. It also provides the position of each CSP on the basis of particular SLA parameter which helps cloud users to select the CSP according to their specific requirements.

Comparisons of Heat Map and IFL Technique to Evaluate the Performance of Commercially Available Cloud Providers

“…It was further applied for the selection of the best cloud provider according to service offer and service delivery from commercially available cloud providers [5]. S. Wang et al [7] presented a collaborative web service selection approach to enhance the traditional trustworthy service selection approaches using two metrics: 1) reputation provided by other service's recommendation and 2) interaction frequency among its web services.…”

“…In this section, we describe the CSP evaluation technique based on IFS [5], which provides the group decision based on auditors' service measurement and consumer's perception, which was first proposed by Wang [6] for web service selection using consumers' vague perception. The general steps followed in an IFL technique are: 1) Evaluators first select the evaluation criteria, 2) evaluators involved in evaluation provide the importance of each criteria in the form of linguistic terms (in IFN value), 3) Similarly, evaluators also give the performance evaluation in the form of linguistic terms.…”

“…They measure quality of cloud computing services with respect to the important requirements of the cloud users [5]. Under each main criterion, sub-criteria are defined (See Table I) for both evaluation techniques.…”

“…Authors in [5] and [3] consider both offered SLA and delivered service performance to evaluate the CSPs based on Intuitionistic Fuzzy Logic (IFL) and Heat Map Table respectively. In this paper, we compare mentioned two evaluation techniques for the feasibility in current cloud brokering scenario.…”

“…In this paper, we present the comparisons of our two approaches: Intuitionistic Fuzzy Logic (IFL), formulated in [5], initially proposed by Wang [6] for web service selection, and Heat Map Performance Table to evaluate commercially available CSPs based on service performance delivered by them [3]. For the CSP evaluation, we collect the service delivery performance of CSPs using commercially available service monitoring tools.…”