Selection Of Cloud Providers Research Articles

Trust Evaluation and Prioritization of Cloud Service Providers Using MADM Methods

With the increasing market for cloud computing and the variety of Cloud Service Providers (CSPs) becoming available, making an appropriate choice of a CSP turns out to be challenging for the consumer. In order to cater to the user’s specific needs of quality, the services provided need to be user-centric. Trust plays an important role in the selection of cloud providers by users. This paper proposes CSP Trust evaluation, Prioritization and Recommendation System (CTPRS) for evaluating the trust of CSPs based on Quality of Service (QoS) parameters, and accordingly ranking and recommending them. MADM methods, namely ARAS, DEA, and GRA are used to evaluate trust by considering the user's preferences across multiple QoS parameters of CSPs. Comparative analysis of all three MADM methods is done using rank conformance, rank correlation, sensitivity, and computational complexity analysis. Experimental results demonstrate that GRA is superior to the other two methods. Thus, GRA is found to be the most suitable method and is therefore used for evaluating trust in CTPRS.

Selecting a Secure Cloud Provider—An Empirical Study and Multi Criteria Approach

Security has become one of the primary factors that cloud customers consider when they select a cloud provider for migrating their data and applications into the Cloud. To this end, the Cloud Security Alliance (CSA) has provided the Consensus Assessment Questionnaire (CAIQ), which consists of a set of questions that providers should answer to document which security controls their cloud offerings support. In this paper, we adopted an empirical approach to investigate whether the CAIQ facilitates the comparison and ranking of the security offered by competitive cloud providers. We conducted an empirical study to investigate if comparing and ranking the security posture of a cloud provider based on CAIQ’s answers is feasible in practice. Since the study revealed that manually comparing and ranking cloud providers based on the CAIQ is too time-consuming, we designed an approach that semi-automates the selection of cloud providers based on CAIQ. The approach uses the providers’ answers to the CAIQ to assign a value to the different security capabilities of cloud providers. Tenants have to prioritize their security requirements. With that input, our approach uses an Analytical Hierarchy Process (AHP) to rank the providers’ security based on their capabilities and the tenants’ requirements. Our implementation shows that this approach is computationally feasible and once the providers’ answers to the CAIQ are assessed, they can be used for multiple CSP selections. To the best of our knowledge this is the first approach for cloud provider selection that provides a way to assess the security posture of a cloud provider in practice.

Cost based Selection of Cloud Providers using Broker in Multi Cloud Environment

Cost based Selection of Cloud Providers using Broker in Multi Cloud Environment

Automatic Selection and Ranking of Cloud Providers using Service Level Agreements

The popularity of cloud computing has increased by tremendous amounts within last few years. By replacing huge amount of traditional IT infrastructure in very short time, cloud computing has brought itself to a supreme position in IT industry. Various factors such as easy availability, pay as you use model and cost effective nature of cloud computing have helped it to achieve this position. However, with the rising popularity of cloud a large number of providers have readily invested in the same. As a result of this the numbers of providers offering cloud services have increased rapidly. Thus, it becomes extremely difficult for a user to select the best cloud manually. Thus keeping the above issue in the mind, this paper proposes a framework that dynamically selects the best cloud as per user requirements and thereby removes the overhead of cloud selection from the user. The selection and ranking of clouds is done by matching user requirements with Service Level Agreements offered by different clouds according to user assigned weights. General Terms Automatic selection of clouds

A framework to support selection of cloud providers based on security and privacy requirements

Cloud computing is an evolving paradigm that is radically changing the way humans store, share and access their digital files. Despite the many benefits, such as the introduction of a rapid elastic resource pool, and on-demand service, the paradigm also creates challenges for both users and providers. In particular, there are issues related to security and privacy, such as unauthorised access, loss of privacy, data replication and regulatory violation that require adequate attention. Nevertheless, and despite the recent research interest in developing software engineering techniques to support systems based on the cloud, the literature fails to provide a systematic and structured approach that enables software engineers to identify security and privacy requirements and select a suitable cloud service provider based on such requirements. This paper presents a novel framework that fills this gap. Our framework incorporates a modelling language and it provides a structured process that supports elicitation of security and privacy requirements and the selection of a cloud provider based on the satisfiability of the service provider to the relevant security and privacy requirements. To illustrate our work, we present results from a real case study.