Reliability Aware Cost Driven Mechanism for Scientific Workflows through Optimal Duplication Strategy

In recent years, all the computation intensive application especially scientific application has migrated to the cloud computing environment due to the diverse requirement. Moreover, diverse requirement of computing can be fulfilled through the cloud computing as it provides the on demand scalable service including resource and platform. Furthermore, in scientific application, it is very important for computing model to fulfill the QoS requirement which includes the fault tolerance and optimal cost; also, this has been one of the major challenging issues nowadays. Thus, in this research work, we develop a ODS (Optimal Duplication Strategy) for fault tolerance and cost driven mechanism also named as ODS-FTC; ODS-FTC uses the iterative based approach that selects VM and its duplicates that has minimum makespan in case of individual task. Moreover, this provides the utility against failure occurrence and optimal selection with optimal redundancy causes the cost to be optimal. ODS-FTC is evaluated considering the scientific workflow. Furthermore, in case of all instances, ODS-FTC is proved to be marginally improvised than the existing model.