Dynamic Resource Scheduling and Workflow Management in Cloud Computing

Abstract

Cloud computing is a new trend after grids. Many market-based resource management strategies are been brought out to implement resource scheduling in cloud computing environment. More and more consumers rely on cloud providers to supply computing service, so economic effectiveness become crucial decisive factor for scheduling policy. In this paper we designed an economic scheduling model with business parameters. And a dynamic scheduling algorithm was presented, which made a trade-off between economic effectiveness and performance. Based on the model and algorithm, we brought out market-oriented workflow management architecture for cloud, in which QoS based resource allocation mechanism was introduced to meet different consumers’ demands and improve scheduling efficiency.