The Estimation of Risk on Cloud Computing Framework
Dr. Rashmi Priya, Assistant Professor, GD Goenka University, Gurgaon, India.
Manuscript received on January 05, 2020. | Revised Manuscript received on January 06, 2020. | Manuscript published on January 15, 2020. | PP: 5-10 | Volume-6, Issue-4, January 2020. | Retrieval Number: D1188016420/2020©BEIESP | DOI: 10.35940/ijisme.D1188.016420
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Cloud Service which is provided generates access to the present resources by service level agreements (SLA) which is formal , and they require proper balanced infrastructures in order to maximize the quality of service (QoS). They try to minimize and provide offer to the count of violations that are offered by the Service Level Agreements. The paper emphasizes on a proper or area of risk assessment which is specific to the applications related to cloud computing. The methods which are present within a framework that is to be used by service providers related to cloud and consumers related service in order to provide assessment of risk in case of deployment of service and the related operation. The paper also puts emphasis on the different stages which are involved in the lifecycle of services where assessment of risk takes place. This leads in the design and implementation of risk models which are in correspondence. The risk puts an impact on the architectural components providing special emphasis on management which is holistic to provide support at operation of services has been described. The assessor which is related to risk has been proven to be effective by various evaluation provided through the experiments and its implementation which needs to be integrated in a toolkit environment provided by cloud computing.
Keywords: Cloud Computing, assessment of risk, model of risk, quality of service.