Fault Tolerant and Risk Access Control Enabled Federated Cloud

Abstract

Cloud Federation is a new novel collaboration paradigm where organizations share data across their private cloud infrastructures. However the adoption of cloud federation is hindered by federated organization’s concerns on potential risks of data leakage and misuse. It is hard for the users to select and assign the most suitable and reliable provider to the user task in FCA. In the proposed approach, FCA shortlisted the related CSPs for the user tasks automatically and choose the optimal provider using the concept of ranking mechanism. Service Level Agreement (SLA) is an agreement that illustrates the level of performance assured by the provider to the user. The Cloud Service Measurement Index Consortium (CSMIC), identified Service Measurement Index (SMI) metrics that helps to evaluate and compare the services of different CSPs. Effective selection models offer optimal cloud service to users are high demand for the increasing number of cloud services on the cloud platform. Risk based access control framework for Federated cloud is proposed that manages user access to Federated cloud resources by quantifying and aggregating risk metrics defined in risk policies created by resource owners. This Trust based cloud selection model is proposed to discover the providers for the service and evaluate the service using the concept of Fuzzy Random Theory. Thus this Risk based access control mechanism is more flexibile to handle exceptional situations in which the access of cloud resources is maintained in the face of violation of SLA but applying the mechanism of fault tolerance to meet the requirements of the cloud user.