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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Work Stealing Strategies for Parallel Stream Processing in Soft Real-Time Systems
verfasst von : Sebastian Mattheis, Tobias Schuele, Andreas Raabe, Thomas Henties, Urs Gleim
Erschienen in: Architecture of Computing Systems – ARCS 2012
Verlag: Springer Berlin Heidelberg
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Work stealing has proven to be an efficient technique for scheduling parallel computations. In its basic form, however, work stealing is not suitable for real-time applications, since the latency of a task is hardly predictable. In this paper, we propose a number of variants and extensions of work stealing suitable for stream processing applications. Such applications are frequently encountered in embedded systems, which often have to obey real-time constraints. Moreover, we give bounds on the maximum latency for certain stealing strategies. Our experimental results show a significant reduction of the latency using these strategies.