Scientific Programming

Scientific Programming / 2004 / Article
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Volume 12 |Article ID 437832 |

Beth Plale, "Framework for Bringing Data Streams to the Grid", Scientific Programming, vol. 12, Article ID 437832, 11 pages, 2004.

Framework for Bringing Data Streams to the Grid

Received24 Jan 2005
Accepted24 Jan 2005


Data streams are a prevalent and growing source of timely data, particularly in the scientific domain. Just as it is common today to read starting conditions such as initial weather conditions, for a scientific simulation from a file, it should be equally as easy to draw starting conditions on-demand from live data streams. But efforts to date to bring streaming data to the grid have lacked generality. In this article we introduce a new model for bringing existing data streams systems onto the grid. The model is predicated on the ability to identify stream systems that meet the criteria of being a "data resource". We establish the criteria in this article, and define a grid service architecture for a data streams resource that leverages standardization efforts in the Global Grid Forum. We discuss key research issues in realizing the data streams model. We are currently developing a prototype of this architecture using our dQUOB system.

Copyright © 2004 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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