Earticle

초록

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.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1. Supercomputer
  2.2. Grid Computing
  2.3. Cloud Computing
  2.4. Comprehensive Comparison between HPC Systems
  2.5. Limitations of Past Researches
 3. Analytic Hierarchy Process
 4. Decision Support Model
 5. Summary and Future Works
  5.1. Summary
  5.2. Future Works
 Acknowledgments
 References

키워드

저자

• Namgyu Kim [ Korea Institute of Science and Technology Information, South Korea ]
• Hyoung Woo Park [ Korea Institute of Science and Technology Information, South Korea ]
• Sudong Park [ Institute for Basic Science ]
• Hyungjin Lee [ Korea Institute of Science and Technology Information, South Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605