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Issue No.06 - November/December (2005 vol.7)
pp: 38-47
Richard Cavanaugh , University of Florida
Julian James Bunn , California Institute of Technology
Iosif Legrand , California Institute of Technology
Steven H. Low , California Institute of Technology
Dan Nae , California Institute of Technology
Sylvain Ravot , California Institute of Technology
Conrad D. Steenberg , California Institute of Technology
Xun Su , California Institute of Technology
Michael Thomas , California Institute of Technology
Frank van Lingen , California Institute of Technology
Yang Xia , California Institute of Technology
Shawn McKee , University of Michigan
We describe the NSF-funded UltraLight project. The project's goal is to meet the data-intensive computing challenges of the next generation of particle physics experiments with a comprehensive, network-focused agenda. In particular we argue that instead of treating the network traditionally, as a static, unchanging and unmanaged set of inter-computer links, we instead will use it as a dynamic, configurable, and closely monitored resource, managed end-to-end, to construct a next-generation global system able to meet the data processing, distribution, access and analysis needs of the high energy physics (HEP) community. While the initial UltraLight implementation and services architecture is being developed to serve HEP, we expect many of UltraLight's developments in the areas of networking, monitoring, management, and collaborative research, to be applicable to many fields of data intensive e-science. In this paper we give an overview of, and motivation for the UltraLight project, and provide early results within different working areas of the project.
Network Protocols, Distributed Systems, Network Monitoring, Physics
Richard Cavanaugh, Julian James Bunn, Iosif Legrand, Steven H. Low, Dan Nae, Sylvain Ravot, Conrad D. Steenberg, Xun Su, Michael Thomas, Frank van Lingen, Yang Xia, Shawn McKee, "The UltraLight Project: The Network as an Integrated and Managed Resource for Data-Intensive Science", Computing in Science & Engineering, vol.7, no. 6, pp. 38-47, November/December 2005, doi:10.1109/MCSE.2005.127
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