Synchronizing data stream processing

  • Authors:
  • Muhammad S. F. Qureshi;Janusz R. Getta

  • Affiliations:
  • School of IT and Computer Science, University of Wollongong, Wollongong, Australia;School of IT and Computer Science, University of Wollongong, Wollongong, Australia

  • Venue:
  • PDCN'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: parallel and distributed computing and networks
  • Year:
  • 2007

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Abstract

Synchronization of data stream processing has a significant impact on performance of systems where processing of long sequences of data items needs to be done simultaneously. In earlier works on stream processing, synchronization has been discussed to a limited extent or has been completely overlooked. This work describes a formal model of synchronization in a data stream processing network. We use a notation of data stream processing networks to identify circumstances that necessitate synchronization and express processing of data items in a data stream processing network in terms of database transactions. A technique similar to timestamp ordering of database transactions is used to solve the problems. A solution is presented as a set of rules that govern processing of individual data items. A proof of correctness for the strategy used is also provided.