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Meeting predictable buffer limits in the parallel execution of event processing operators

Titelangaben

Mayer, Ruben ; Koldehofe, Boris ; Rothermel, Kurt:
Meeting predictable buffer limits in the parallel execution of event processing operators.
In: 2014 IEEE International Conference on Big Data (Big Data). - Piscataway, NJ : IEEE , 2014 . - S. 402-411
ISBN 978-1-4799-5666-1
DOI: https://doi.org/10.1109/BigData.2014.7004257

Abstract

Complex Event Processing (CEP) systems enable applications to react to live-situations by detecting event patterns (complex events) in data streams. With the increasing number of data sources and the increasing volume at which data is produced, parallelization of event detection is becoming of tremendous importance to limit the time events need to be buffered before they actually can be processed by an event detector - named event processing operator. In this paper, we propose a pattern-sensitive partitioning model for data streams that is capable of achieving a high degree of parallelism for event patterns which formerly could only be consistently detected in a sequential manner or at a low parallelization degree. Moreover, we propose methods to dynamically adapt the parallelization degree to limit the buffering imposed on event detection in the presence of dynamic changes to the workload. Extensive evaluations of the system behavior show that the proposed partitioning model allows for a high degree of parallelism and that the proposed adaptation methods are able to meet the buffering level for event detection under high and dynamic workloads.

Weitere Angaben

Publikationsform: Aufsatz in einem Buch
Begutachteter Beitrag: Ja
Institutionen der Universität: Fakultäten
Fakultäten > Fakultät für Mathematik, Physik und Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Data Systems
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Data Systems > Lehrstuhl Data Systems - Univ.-Prof. Dr. Ruben Mayer
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik
Titel an der UBT entstanden: Nein
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
Eingestellt am: 25 Apr 2023 12:43
Letzte Änderung: 05 Feb 2024 07:46
URI: https://eref.uni-bayreuth.de/id/eprint/76012