A scientific workflow supported environment over hybrid infrastructure for aerodynamics design
Seoyoung C. Kim, Hye-Jeong Kang, Yoonhee Kim · 2012
As computing technologies develop, various studies for e-Science have been actively developed for many years. The advent of Cloud computing, for example, enables scientists to expand their research environments over supercomputers to on-demand and scalable resources. However, several performance drawbacks on the cloud computing can cause considerable obstacles in scientific domains, despite its strong merits. A hybrid infrastructure which consists of the existing and cloud architecture thus can produce a synergy effect for utilizing resources efficiently. In this paper, we proposed hybrid infrastructure-supported a scientific workflow environment for Aerodynamics design and demonstrated its superiority. Hybrid infrastructure covers grid and private cloud computing in this paper. Especially, we focused on improving performance by supporting hybrid infrastructure and efficient usages of physical resources. Since it offers diverse types of computing infrastructures including cloud computing, it can serve elastic resources regardless of the number of tasks for experiments or limitations of space and can reduce costs of time as well as budget during simulations.