Abstract
Data stream processing has found enormous use in real time applications such as financial tickers, network and sensor monitoring, manufacturing processes and others. STREAM is Data Stream Management System which implements sliding window query model in its architecture. We explore the existing architectural model in an effort to achieve faster results and improve the overall system functionality. In this paper, we analyze the STREAM data manager for the possible optimization of the query processing. We discuss the potential inadequacies of the current query model and put forward the use of punctuations along with sliding windows to improve the memory utilization and query processing.
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Tiwari, L., Shahnasser, H. (2010). Exploiting Punctuations along with Sliding Windows to Optimize STREAM Data Manager. In: Zavoral, F., Yaghob, J., Pichappan, P., El-Qawasmeh, E. (eds) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14292-5_12
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DOI: https://doi.org/10.1007/978-3-642-14292-5_12
Publisher Name: Springer, Berlin, Heidelberg
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