Rezumat articol ediţie STUDIA UNIVERSITATIS BABEŞ-BOLYAI

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Data stream processing is a new paradigm that emerged in the last years in the field of data management. Dedicated systems are designed to deal with the challenges posed in the process of executing continuous queries over infinite data streams. One of the most sensitive issues in this context is resource usage. The current approaches to minimize system memory and CPU consumption don’t take into account the size of a window which is input to a query. In a previous paper we proposed a novel technique, that tackles resource usage by assessing the Sizing window effect. In this paper we propose a new architecture for the Sizing window effect, built on top of a commercially available DSMS, namely the WindowSized architecture.

Key words and phrases. data stream processing, sizing window effect, continuous queries, data stream processing systems, windowsized architecture.