A fault tolerent approach in scientific workflow systems based on cloud computing

Fault Tolerance is a configuration that prevents a computer or network device from failing in the event of unexpected problem or error such as hardware failure, link failure, unauthorized access, variations in the configuration of different systems and system running out of memory or disk space. The integration of fault tolerance measures with scheduling gains much importance. Scientific workflows use distributed heterogeneous resources in cloud interface are often hard to program. This paper explains task replication technique and simulation of cloud computing systems.