Time and Cost-Aware Method for Scheduling Workflows In Cloud Computing Systems

Cloud computing systems provide different options to customers to compute the tasks' based on their choice. Cloud systems provide services to customers as a utility. The customers are focused on the availability of service at low cost and minimum execution time. The performance of cloud systems depends on scheduling of tasks. The groups of tasks which are interdependent are referred as workflows. Workflow tasks scheduling plays an important role to estimate cloud system performance. If we want to reduce the execution time (make span), the cost involved in it will increase. Here we proposed a novel method which minimizes the cost and time to schedule tasks of workflows. This algorithm schedules the tasks of a workflow to complete the execution in shortest feasible time so as to minimize the price for the services provided to customers. The experimental results show that proposed scheduling algorithm minimizes the make span and cost of workflows when compared with other existing algorithms.