at Google ScholarTitle data
Mayer, Ruben ; Slo, Ahmad ; Tariq, Muhammad Adnan ; Rothermel, Kurt ; Gräber, Manuel ; Ramachandran, Umakishore:
SPECTRE : Supporting consumption policies in window-based parallel complex event processing.
In:
Proceedings of the 2017 International Middleware Conference. -
New York
: Association for Computing Machinery
,
2017
. - pp. 161-173
ISBN 978-1-4503-4720-4
DOI: https://doi.org/10.1145/3135974.3135983
Abstract in another language
Distributed Complex Event Processing (DCEP) is a paradigm to infer the occurrence of complex situations in the surrounding world from basic events like sensor readings. In doing so, DCEP operators detect event patterns on their incoming event streams. To yield high operator throughput, data parallelization frameworks divide the incoming event streams of an operator into overlapping windows that are processed in parallel by a number of operator instances. In doing so, the basic assumption is that the different windows can be processed independently from each other. However, consumption policies enforce that events can only be part of one pattern instance; then, they are consumed, i.e., removed from further pattern detection. That implies that the constituent events of a pattern instance detected in one window are excluded from all other windows as well, which breaks the data parallelism between different windows. In this paper, we tackle this problem by means of speculation: Based on the likelihood of an event's consumption in a window, subsequent windows may speculatively suppress that event. We propose the SPECTRE framework for speculative processing of multiple dependent windows in parallel. Our evaluations show an up to linear scalability of SPECTRE with the number of CPU cores.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Data Systems Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Data Systems > Chair Data Systems - Univ.-Prof. Dr. Ruben Mayer Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science |
| Result of work at the UBT: | No |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
| Date Deposited: | 25 Apr 2023 12:05 |
| Last Modified: | 05 Feb 2024 07:43 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76023 |