The scheduling of task graphs in high performance computing as service clouds

In this paper we propose a new method of scheduling the distributed applications in cloud environment according to the High Performance Computing as a Service concept. We assume that applications, that are submitted for execution, are specified as task graphs. Our method dynamically schedules all the tasks using resource sharing by the applications. The goal of scheduling is to minimize the cost of resource hiring and the execution time of all incoming applications. Experimental results showed that our method gives significantly better utilization of computational resources than existing management methods for clouds.