Open science grid: Building and sustaining general cyberinfrastructure using a collaborative approach

Author:

Avery Paul

Abstract

I describe in this paper the creation and operation of the Open Science Grid (OSG [1]), a distributed shared cyberinfrastructure driven by the milestones of a diverse group of research communities. The effort is fundamentally collaborative, with domain scientists, computer scientists and technology specialists and providers from more than 70 U.S. universities, national laboratories and organizations providing resources, tools and expertise. The evolving OSG facility provides computing and storage resources for particle and nuclear physics, gravitational wave experiments, digital astronomy, molecular genomics, nanoscience and applied mathematics. The OSG consortium also partners with campus and regional grids, large projects such as TeraGrid [2], Earth System Grid [3], Enabling Grids for E–sciencE (EGEE [4]) in Europe and related efforts in South America and Asia to facilitate interoperability across national and international boundaries. OSG’s experience broadly illustrates the breadth and scale of effort that a diverse, evolving collaboration must undertake in building and sustaining large–scale cyberinfrastructure serving multiple communities. Scalability — in resource size, number of member organizations and application diversity — remains a central concern. As a result, many interesting [5] challenges continue to emerge and their resolution requires engaged partners and creative adjustments.

Publisher

University of Illinois Libraries

Subject

Computer Networks and Communications,Human-Computer Interaction

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cyberinfrastructure, Cloud Computing, Science Gateways, Visualization, and Cyberinfrastructure Ease of Use;Advances in Computer and Electrical Engineering;2019

2. Cyberinfrastructure, Cloud Computing, Science Gateways, Visualization, and Cyberinfrastructure Ease of Use;Encyclopedia of Information Science and Technology, Fourth Edition;2018

3. The 10 Attributes that Drive Adoption and Diffusion of Computational Tools in E-Science;Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale;2016-07-17

4. A survey of task mapping on production grids;ACM Computing Surveys;2013-06

5. The Emerging Governance of E-Infrastructure;Journal of Computer-Mediated Communication;2013-01

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