A Multiple Fault Tolerant Approach With Improved Performance in Cluster Computing
In case of multiple node failures performance is very low as compare to single node failure. Failures of nodes in cluster computing can be tolerated by multiple fault tolerant computing. In this paper, the authors propose a multiple fault tolerant technique with improved failure detection and performance. Failure detection is done by improved adaptive heartbeats based algorithm to improve the degree of confidence and accuracy. Failure recovery is based on reassignment of load with a rank based algorithm Performance is achieved by distributing the load among all available nodes with dynamic rank based balancing algorithm.