An Science Gateway with Cost Adaptive Resource Management Schemes

Abstract

In order to process heavy data and computation applications such as scientific application in cloud computing environment, it is important to do an efficient resource schedule that decrease the resource usage cost while guaranteeing users’ Service Level Agreement. To resolve this issue, we propose and implement Science Gateway, which execute the scientific application efficiently on heterogeneous cloud service providers instead of users. Especially, we propose a cost-adaptive resource management schemes (i.e. VM pool management scheme that decreases the resource management cost significantly based on the long-term payment plans of cloud resource providers and VM placement management scheme that guarantee the performance of communication between VMs). Finally, we demonstrate that our proposed system improves the performance of existing cloud systems through some experimental and simulation results.