Design of a Framework for Data-Intensive Wide-Area Applications

dc.contributor.authorBeynon, Michael D.en_US
dc.contributor.authorKurc, Tahsinen_US
dc.contributor.authorSussman, Alanen_US
dc.contributor.authorSaltz, Joelen_US
dc.date.accessioned2004-05-31T23:01:52Z
dc.date.available2004-05-31T23:01:52Z
dc.date.created2000-02en_US
dc.date.issued2000-02-23en_US
dc.description.abstractApplications 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 infrastructure issues to high level application concerns. However, providing support for efficient exploration and processing of very large scientific datasets stored in distributed archival storage systems remains a challenging research issue. We have initiated an effort that focuses on developing efficient data-intensive applications in a Grid environment. In this paper, we present a framework, called filter-stream programming, that represents the processing units of a data-intensive application as a set of filters, which are designed to be efficient in their use of memory and scratch space. We describe a prototype infrastructure that supports execution of applications using the proposed framework. We present the implementation of two applications using the filter-stream programming framework, and discuss experimental results demonstrating the effects of heterogeneous resources on application performance. (Also cross-referenced as UMIACS-TR-2000-04)en_US
dc.format.extent436071 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/1054
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-4104en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-2000-04en_US
dc.titleDesign of a Framework for Data-Intensive Wide-Area Applicationsen_US
dc.typeTechnical Reporten_US

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