Processing nested complex sequence pattern queries over event streams

Title Processing nested complex sequence pattern queries over event streams
Author Liu, M., Ray, M., Rundensteiner, E. A., Dougherty, D. J., Gupta, C., Wang, S., Arı, İsmail, Mehta, A.
Publication Date: 2010
Publication Place - ACM
Subject Complex event processing, Complex sequence pattern queries
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 978-1-4503-0416-0
Record ID f4e14145-625d-4030-b28a-9b3068e5ed14
Library Location Computer Science
Date 2010
Notes HP Labs Innovation Research Program ; National Science Foundation ; TÜBİTAK
Sample Text Complex event processing (CEP) has become increasingly important for tracking and monitoring applications ranging from healthcare, supply chain management to surveillance. These monitoring applications submit complex event queries to track sequences of events that match a given pattern. As these systems mature the needfor increasingly complex nested sequence queries arises, while thestate-of-the-art CEP systems mostly focus on the execution of flat sequence queries only. In this paper, we now introduce an iterative execution strategy for nested CEP queries composed of sequence, negation, AND and OR operators. Lastly the promise of applying selective caching of intermediate results to optimize the execution. Our experimental study using real-world stock trades evaluates the performance of our proposed iterative execution strategy for differentquery types.
DOI 10.1145/1858158.1858164
View in source Özyeğin University Özyeğin University - Historical works, archives, and periodicals search engine
Özyeğin University - Historical works, archives, and periodicals search engine Özyeğin University

Processing nested complex sequence pattern queries over event streams

Author Liu, M., Ray, M., Rundensteiner, E. A., Dougherty, D. J., Gupta, C., Wang, S., Arı, İsmail, Mehta, A.
Publication Date 2010
Publication Place - ACM
Subject Complex event processing, Complex sequence pattern queries
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 978-1-4503-0416-0
Record ID f4e14145-625d-4030-b28a-9b3068e5ed14
Library Location Computer Science
Date 2010
Notes HP Labs Innovation Research Program ; National Science Foundation ; TÜBİTAK
Sample Text Complex event processing (CEP) has become increasingly important for tracking and monitoring applications ranging from healthcare, supply chain management to surveillance. These monitoring applications submit complex event queries to track sequences of events that match a given pattern. As these systems mature the needfor increasingly complex nested sequence queries arises, while thestate-of-the-art CEP systems mostly focus on the execution of flat sequence queries only. In this paper, we now introduce an iterative execution strategy for nested CEP queries composed of sequence, negation, AND and OR operators. Lastly the promise of applying selective caching of intermediate results to optimize the execution. Our experimental study using real-world stock trades evaluates the performance of our proposed iterative execution strategy for differentquery types.
DOI 10.1145/1858158.1858164
Özyeğin University - Historical works, archives, and periodicals search engine
Özyeğin University You are being redirected...

Please wait