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A QoS-awared scientific workflow scheduling schema in cloud computing

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3 Author(s)
Cong Wan ; College of Information Science and Engineering, Northeastern University, Shenyang 110044, China ; Cuirong Wang ; Jianxun Pei

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.

Published in:

2012 IEEE International Conference on Information Science and Technology

Date of Conference:

23-25 March 2012