earticle

영어

Traditionally computational scientists have used supercomputers to solve their scientific problems using multi-processors and large-scale shared memory, and scientific communities have also used Grid computing for scientific projects using large-scale computation and data resources. Recently Cloud computing is a emerging infrastructure to be considered for scientific applications and several institutes applied this to their projects. But there is no sure method for computational scientists to select a environment to fit their researches though diverse researches using these infrastructures are conducted in a variety of science domains. In this paper we describe three infrastructures for scientific researches through literature reviews, and we deliberate on what factors are considered to select one infrastructure to solve scientific problems from a scientists’ point of view. And then, analytic hierarchy process is introduced as an approach for choosing a proper infrastructure, and we propose a model to choose a appropriate infrastructure reflected by various aspects of computational science’s properties via this approach. Thus this paper offers a novel viewpoint to scientists when they choose a high performance computing environment for their researches.