@article{abadi03,
title = {Aurora: a new model and architecture for data stream management},
address = {Secaucus, NJ, USA},
author = {Daniel J. Abadi and Don Carney and Ugur \c{C}etintemel and Mitch Cherniack and Christian Convey and Sangdon Lee and Michael Stonebraker and Nesime Tatbul and Stan Zdonik},
journal = {The VLDB Journal},
number = {2},
pages = {120--139},
publisher = {Springer-Verlag New York, Inc.},
url = {http://portal.acm.org/citation.cfm?id=950485},
volume = {12},
year = {2003},
description = {Aurora: a new model and architecture for data stream management},
abstract = {Abstract.This paper describes the basic processing model and architecture of Aurora, a new system to manage data streams for monitoring applications. Monitoring applications differ substantially from conventional business data processing. The fact that a software system must process and react to continual inputs from many sources (e.g., sensors) rather than from human operators requires one to rethink the fundamental architecture of a DBMS for this application area. In this paper, we present Aurora, a new DBMS currently under construction at Brandeis University, Brown University, and M.I.T. We first provide an overview of the basic Aurora model and architecture and then describe in detail a stream-oriented set of operators.},
issn = {1066-8888}, doi = {http://dx.doi.org/10.1007/s00778-003-0095-z},
keywords = {imported visual }
}
::