ABSTRACT
Cloud Computing is a platform that offers resource sharing in terms of justifiable and scalable infrastructure for Cloud applications. Cloud has brought a huge transformation of the entire computing industry. Currently, the advent of cloud platform as a latest model of service provisioning in distributed systems, has motivated researchers to investigate its benefits in executing scientific applications and the Big data. One of the major significant issues in this model is that it is prone to Disaster. Several simulation tools are developed to test system efficiency, cost and complexity of cloud applications. Despite the existence of various tools, disasters continue to prevail in Cloud applications. The aim of this paper is therefore to analyze different simulation tools for various disasters recovery in Cloud computing. This analysis enables one to comprehend the choice of tools for their applications. This knowledge further provides information about parameters that are supported by the tools and hence opens up research avenues towards those parameters which are not yet deemed in the tools.