Trust-Based Scheduling Strategy for Workflow Applications in Cloud Environment

Current research on scheduling of workflow applications in Cloud environment is main focused on the trade-off between the execution cost and time of a task. However, unlike traditional scheduling, there are other important requirements to be taken into account. One such a requirement is trust scheduling, namely selecting trustful compute resources and data hosts so that the execution of applications. In this paper, we formulate the scheduling problem for workflow applications with trust constraints and present a novel scheduling algorithms based on trust. Experimental results illustrate that the proposed heuristic scheduling algorithm is better than the traditional algorithm for scheduling application workflows, and can find the most trusted execution flow efficiently.