Abstract

A particularly demanding and important challenge that we face as we attempt to construct the distributed computing machinery required to support SciDAC goals is the efficient, high-performance, reliable, secure, and policy-aware management of large-scale data movement. This problem is fundamental to diverse application domains including experimental physics (high energy physics, nuclear physics, light sources), simulation science (climate, computational chemistry, fusion, astrophysics), and large-scale collaboration. In each case, highly distributed user communities require high-speed access to valuable data, whether for visualization or analysis. The quantities of data involved (terabytes to petabytes), the scale of the demand (hundreds or thousands of users, data-intensive analyses, real-time constraints), and the complexity of the infrastructure that must be managed (networks, tertiary storage systems …

Metadata

publication

Journal of Physics: Conference Series 16 (1), 571, 2005

year

2005

publication date

2005

authors

Bill Allcock, Ann Chervenak, Ian Foster, Carl Kesselman, Miron Livny

link

https://iopscience.iop.org/article/10.1088/1742-6596/16/1/079/meta

resource_link

https://iopscience.iop.org/article/10.1088/1742-6596/16/1/079/pdf

journal

Journal of Physics: Conference Series

volume

16

issue

1

pages

571

publisher

IOP Publishing