Big Data and Intrusiveness: Marketing Issues

Abstract

Objective: The main intent of this research is to improve the fault tolerance capability in the geographically distributed resources by predicting the execution time of every job’s earlier in the grid environment. Methods: In this manuscript Fault-Tolerant Based Dynamic scheduling algorithm (FTDS) is introduced for improving the fault tolerance mechanism. The execution time of every user submitted jobs are predicted to improve the fault tolerance capability. The check pointing system is maintained to keep track of all the jobs that are currently running in order to reschedule it in the new resources at the time of resource failure from the last execution step. The resource allocation at the time of failure is decided by the FTDS method and job processing state is decided by the check pointing system. Results: The Fault tolerance based dynamic scheduling algorithm shows better performance than the existing adaptive task check pointing and replication mechanism. In FTDS method, the processing time related parameters are computed to compare it with the existing approach. If the number of task is 500, the average response time in FTDS is 451 ms and the average co-ordination delay is 250ms and the makespan consumed is 450ms. Based on the comparison and the results from the experiment, it proves that the proposed approach works better than the other existing works with better performance. Conclusion: The findings demonstrate that the Fault-Tolerant Based Dynamic Scheduling algorithm is presented and suggested that this method has high fault tolerance rate to prevent the task execution from the resource failure.