Fault Tolerance by Replication in Parallel Systems

In this paper the author has concentrated on architecture of a cluster computer and the working of them in context with parallel paradigms. Author has a keen interest on guaranteeing the working of a node efficiently and the data on it should be available at any time to run the task in parallel. The applications while running may face resource faults during execution. The application must dynamically do something to prepare for, and recover from, the expected failure. Typically, checkpointing is used to minimize the loss of computation. Checkpointing is a strategy purely local, but can be very costly. Most checkpointing techniques, however, require central storage for storing checkpoints. This results in a bottleneck and severely limits the scalability of checkpointing, while also proving to be too expensive for dedicated checkpointing networks and storage systems. The author has suggested the technique of replication implemented on it. Replication has been studied for parallel databases in general. Author has worked on parallel execution of task on a node; if it fails then self protecting feature should be turned on. Selfprotecting in this context means that computer clusters should detect and handle failures automatically with the help of replication