Discovering The Trustworthy Cloud Service Provider in Collaborative Cloud Environment
Venisha .A1, M.Murali2
1Venisha A, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
2Dr. M. Murali, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
Manuscript received on 22 April 2019 | Revised Manuscript received on 01 May 2019 | Manuscript Published on 05 May 2019 | PP: 360-365 | Volume-8 Issue-2S2, May 2019 | Retrieval Number: B10770182S219/19©BEIESP
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Abstract: Cloud computing technology has evolved drastically by adopting superior computing and storage abilities. Cloud computing is perceived as a beneficial option that offers sharing of services across the internet. For storing abundant volume of data, cloud computing can be extremely helpful. The CSP (cloud service provider) finds it challenging to choose a suitable trust model. Moreover, most of the cloud services offer equivalent functionalities though their performances vary as a result selecting suitable cloud service becomes quiet challenging for the user. The cloud service provider provides services to Cloud client in accord with the SLA (Service Level Agreement). The documentation involves, all the transactions that are being classified relying upon the administration type provided by the service provider along with the payment that the client must do. Regrettably, Service Level Agreement isn’t taken up seriously, resultant QoS (quality of service) isn’t achieved. In various situation, it’s observed that reliability is neglected and the administration lacks quality. The present research work attends the issue of choosing the most appropriate CSP (Cloud service provider) that yields high quality. In other words, determining the reliability of CSPs within a cloud environment. Following are the methods involved in the recommended approach 1) Creation of cloud cluster environment 2) Broker creation 3) Machine Agent 4) Feedback Provider and 5) Trust validation. The trust management system incorporates fewer machine agents, feedback gained by utilizing external resources, highly effective in computing trust and CPU’s are not left idle or without use. Performance analysis and the output of the experiments prove the efficiency and feasibility of the recommended approach. It’s revealed from the output that the proposed methodology offers superior service matching. Using the Trust model, appropriate and specific services can be chosen effectively by the tenants.
Keywords: Cloud Computing, Service Level Agreement, Cloud Service Providers, Cloud Cluster Environment, Broker Creation, Machine Agent, Feedback Provider And Trust Validation.
Scope of the Article: Cloud Computing