(Enter summary)
Abstract: Applications that use collections of very large, distributed
datasets have become an increasingly important
part of science and engineering. With high performance
wide-area networks becoming more pervasive, there is interest
in making collective use of distributed computational
and data resources. Recent work has converged to the
notion of the Grid, which attempts to uniformly present a
heterogeneous collection of distributed resources. Current
Grid research covers many areas from low level... (Update)
Context of citations to this paper: More
.... researchers focused on implementing easy touse interfaces that include optimizations for data intensive scientific applications [24, 3, 22, 23]. These interfaces try to improve the I O performance with little input from the user. MCIO can be employed by these interfaces with...
.... so they provide it with more scratch space, faster tape archives [19,27] better archiving formats [2, 21] and more intelligent tools [3,5,22] to navigate through the copious amounts of output produced. These approaches are very useful when all computation is indeed...
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BibTeX entry: (Update)
Michael D. Beynon, Tahsin Kurc, Alan Sussman, and Joel Saltz. Design of a framework for dataintensive wide-area applications. Technical Report CS-TR-4104 and UMIACS-TR-2000-04, University of Maryland, Department of Computer Science and UMIACS, February 2000. To appear in the Proceedings of the 2000 Heterogeneous Computing Workshop. http://citeseer.ist.psu.edu/beynon00design.html More
@inproceedings{ beynon00design,
author = "Michael Beynon and Tahsin M. Kurc and Alan Sussman and Joel H. Saltz",
title = "Design of a Framework for Data-Intensive Wide-Area Applications",
booktitle = "Heterogeneous Computing Workshop",
pages = "116-130",
year = "2000",
url = "citeseer.ist.psu.edu/beynon00design.html" }
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