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Scheduling Stream Processing on Multi-Core Processors
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (Software Technology Labs)
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (Software Technology Labs)ORCID iD: 0000-0002-7565-3714
2011 (English)In: Fourth Swedish Workshop on Multicore Computing / [ed] Christoph Kessler, Linköping, Sweden: Linköping University , 2011, 136- p.Conference paper, (Refereed)
Abstract [en]

Stream processing applications map continuous sequences of input data blocks to continuous sequences of output data blocks. They have demands on throughput of blocks or response time for each data block. We present theoretical bounds on the degree of parallelism of such applications, their throughput and response time. Based on these bounds, we develop scheduling heuristics for different optimization and constraint problems of stream processing applications involving throughput and response time. These results direct the manual implementation of efficient stream processing applications and will, on the long run, help generating them automatically.

Place, publisher, year, edition, pages
Linköping, Sweden: Linköping University , 2011. 136- p.
Keyword [en]
Stream processing, multi-core, optimization, parallelization, throughput, response time
National Category
Computer Science
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-16724OAI: oai:DiVA.org:lnu-16724DiVA: diva2:476267
Conference
Fourth Swedish Workshop on Multicore Computing (MCC 2011)
Available from: 2012-01-13 Created: 2012-01-11 Last updated: 2017-01-27Bibliographically approved

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Citation style
  • apa
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Output format
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