An Empirical Analysis of Wolrdwide Cyberinfrastructure

Cyberinfrastructure is a research infrastructure that provides an environment in which research communities can get access to distributed resources and collaborate at unprecedented levels of computation, storage, and network capacity. The Worldwide LHC Computing Grid (WLCG) is a global collaborative project of computing or data centers that enables access to scientific data generated by the Large Hadron Collider (LHC) experiments at CERN. This case study analyzes the WLCG as a model of cyberinfrastructure in research collaboration. WLCG provides a useful case of how cyberinfrastructure can work in providing an infrastructure for collaborative researches under data-intensive paradigm. Cyberinfrastructure plays the critical role of facilitating collaboration of diverse and widely separated communities of researchers. Data-intensive science requires new strategies for research support and significant development of cyberinfrastructure. The sustainability of WLCG depends on the resources of partner organizations and virtual organizations at international levels, essential for research collaboration.

keywords: Cyberinfrastructure, WLCG, computing grid, scientific data, data center

Reference

Bell, G., Hey, T.L. and Szalay, A. (2009) Beyond the data deluge, Science, 323, 1297-1298.

Bird, I., Jones, B. and Kee, K.F. (2009) The organization and management of grid infrastructures, Computer, 36-46.

Bloom, K. and Gerber, R. (2013) Computing Frontier: Distributed Computing and Facility Infrastructures, Community Planning Study: Snowmass.

Borgman, C.L., Bowker, C.G., Finholt, T.A. and Wallis, J.C. (2009) Towards a virtual organization for data cyberinfrastructure, Proceedings of the 9th ACM/IEEE-CS Joint Conference on Digital Libraries.

CERN (2014) Annual Report 2014.

Critchloco, T. and van Dam, K.K. (2013) Data-Intensive Science, Boca Raton, FL.: CRS Press.

DeSanctis, G. and Monge, P. (1998) Communication processes for virtual organizations, J. Computer-Mediated Communication, 13(4), 25-37.

Foster, I., Kesselman, C. and Tuecke, S. (2001) The anatomy of the grid: enabling scalable virtual organizations, Int’l J. Supercomputing Applications, 15(3), 200-222.

Fox, P. and Kozyra, J. (2015) eScience and informatics for international science programs, Progress in Earth and Planetary Science, (12), 1-9.

10.

Gray, J. and Szalay, A. (2007) eScience - A Transformed Scientific Method, Presentation to the Computer Science and Technology Board of the National Research Council. http://research.microsoft.com/en-us/um/people/gray/talks/NRC-CSTB_eScience.ppt.

11.

Hey, T., Tansley, S. and Tolle, K. (eds.) (2009) The fourth paradigm: data-intensive scientific discovery, Microsoft Research Corporation, 978-0982544204.

12.

IBM (2005) Introduction to Grid computing.

13.

Legrand, I. (2004) MONARC Simulation Framework, ACAT’04, Tsukuba.

14.

NSF (2003) Revolutionizing Science and Engineering through Cyberinfrastructure.

15.

NSF (2007) Cyberinfrastructure Vision for 21st Century Discovery.

16.

NSF (2011) A report of National Science Foundation Advisory Committee for Cyberinfrastructure Task Force on Grand Challenges.

17.

National e-Science Centre (2007) Developing the UK’s e-Infrastructure for Science and Innovation.

18.

Rhodes, R.A.W. (1997) Understanding governance, Buckingham: Open University Press. WLCG. http://wlcg.web.cern.ch/

바로가기메뉴

Article Contents

Vol.4 No.3

An Empirical Analysis of Wolrdwide Cyberinfrastructure

Abstract

Reference

Asian Journal of Innovation and Policy