A QoS-awared scientific workflow scheduling schema in cloud computing

Now it is a trend to deploy the applications in the cloud computing environment. Most of scientific workflow (SWF) needs to process a large amount of data and requires parallel computing to reduce response time. SWF under grid computing environment have been already studied. As a business model, cloud computing is more scalable and cost-effective. In this paper, we propose a schedule schema that enable user to change the processing time by adjusting the budget and to change the price by adjusting the request response time in the SWF.