Review on Workflow Scheduling Algorithm in Cloud Platform

Abstract Cloud computing is the latest distributed computing paradigm and it offers tremendous opportunities to resolve giant scale scientific issues. However, it presents various challenges that require to be self-addressed so as to be with efficiency used for progress applications. The progress planning downside has been widely studied, there are very few initiatives tailored for Cloud environments. A Cloud atmosphere differs from different distributed atmosphere in two major ways: ondemand resource provisioning and pay-as-you-go rating model. The proposed system consists of a dynamic cost-effective deadline-constrained heuristic algorithm for scheduling a scientific workflow in a public Cloud. This system aims to exploit the advantages offered by the cloud computing for resource management in IT sector by implementing plan and schedule algorithm to manage and allocate the resources by scheduling the deadlines of various tasks of major projects in IT industry such as analysis , design ,implementation ,testing, deployment and maintenance .The proposed methodology also provides the performance evaluation of an employee by analyzing his attendance, feedback from admin and their teammates based on his work. Keywords: distributed computing, heuristic , plan and schedule algorithm , performance evaluation