Comparison of Various Fault Tolerance Techniques for Scientific Workflows in Cloud Computing


Cloud computing has become a developing platform for personal or individual computing. For enhancing capabilities of cloud, fault tolerance is a very essential task. Fault tolerance is one of the major issue among all the issues of cloud computing. The principle advantages of having fault tolerance in cloud computing incorporate lower cost, failure recovery and enhanced performance metrics. In this paper, we have reviewed various techniques for optimising the fault tolerance in scientific workflows. The fault tolerance strategy reduces the cost, scheduling overhead and scalability etc. It is impossible to satisfy all the requirements for effective fault tolerance as it violates the service level agreement.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL