Fault Tolerant Workflow Scheduling Based on Replication and Resubmission of Tasks in Cloud Computing

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The aim of workflow scheduling system is to schedule the workflows within the user given deadline to achieve a good success rate. Workflow is a set of tasks processed in a predefined order based on its data and control dependency. Scheduling these workflows in a computing environment, like cloud environment, is an NP-Complete problem and it becomes more challenging when failures of tasks are considered. To overcome these failures, the workflow scheduling system should be fault tolerant. In this paper, the proposed Fault Tolerant Workflow Scheduling algorithm (FTWS) provides fault tolerance by using replication and resubmission of tasks based on priority of the tasks.