Abstract Data stream management systems are a natural choice to efficiently process continuous queries
over high volume data streams, e.g., to monitor sensor data or transaction streams. An immediate reactionon detected critical or security relevant situations is essential for a secure and economic operation,as in our scenario of monitoring decentralized energy systems, which realize geographically distributedenergy generation processes. Without further provisions existing processing approaches may lead to a delayof critical or security relevant messages in high load situations, e.g., caused by bursts.
%0 Journal Article
%1 jonasphysical
%A Jacobi, Jonas
%A Bolles, André
%A Grawunder, Marco
%A Nicklas, Daniela
%A Appelrath, H.-Jürgen
%D 2006
%J Computer Science - Research and Development
%K DataStream Odysseus Priority Research Sheduling
%P --
%T A physical operator algebra for prioritized elements in data streams
%U http://dx.doi.org/10.1007/s00450-009-0102-8
%X Abstract Data stream management systems are a natural choice to efficiently process continuous queries
over high volume data streams, e.g., to monitor sensor data or transaction streams. An immediate reactionon detected critical or security relevant situations is essential for a secure and economic operation,as in our scenario of monitoring decentralized energy systems, which realize geographically distributedenergy generation processes. Without further provisions existing processing approaches may lead to a delayof critical or security relevant messages in high load situations, e.g., caused by bursts.
@article{jonasphysical,
abstract = {Abstract Data stream management systems are a natural choice to efficiently process continuous queries
over high volume data streams, e.g., to monitor sensor data or transaction streams. An immediate reactionon detected critical or security relevant situations is essential for a secure and economic operation,as in our scenario of monitoring decentralized energy systems, which realize geographically distributedenergy generation processes. Without further provisions existing processing approaches may lead to a delayof critical or security relevant messages in high load situations, e.g., caused by bursts.},
added-at = {2010-05-26T11:48:32.000+0200},
author = {Jacobi, Jonas and Bolles, André and Grawunder, Marco and Nicklas, Daniela and Appelrath, H.-Jürgen},
biburl = {https://www.bibsonomy.org/bibtex/2a8d0af6cb9e89ac755e38752ce90c759/macek},
description = {SpringerLink - Zeitschriftenbeitrag},
interhash = {63ad3b9f6b3eca5784c9f6e763d51121},
intrahash = {a8d0af6cb9e89ac755e38752ce90c759},
journal = {Computer Science - Research and Development},
keywords = {DataStream Odysseus Priority Research Sheduling},
pages = {--},
timestamp = {2010-09-11T18:40:56.000+0200},
title = {A physical operator algebra for prioritized elements in data streams},
url = {http://dx.doi.org/10.1007/s00450-009-0102-8},
year = 2006
}