M.S.F. Qureshi and J.R. Getta (Australia)
Data stream, synchronization, parallel processing, transaction, and timestamp
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.
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