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Scientific Programming
Volume 12, Issue 4, Pages 213-223

Framework for Bringing Data Streams to the Grid

Beth Plale

Computer Science Department, Indiana University, Bloomington, IN, USA

Received 24 January 2005; Accepted 24 January 2005

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.


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.