A stream database server for sensor applications (original) (raw)

We present a framework for stream data processing that incorporates a stream database se11Jer as a fundamental component. The server operates as the stream control iflterjace between arrays of distributed data stream sources and end-user clients thaJ access and analyze the streams. The underlying framework provides novel stream managemem and query processing mechanisms to support the online acquisition, management, storage, non-blocking query. and imegration of data streams for distributed muLti-sensor networks. In this paper, we define OUT stream model and stream representation for the stream database, and we describe the functionality alld implementation of key components of the stream processing framework, including the query processing interface for source streams, the stream manager, the stream buffer manager, non-blocking query execution, and a new class ofjoin aLgorithms for joining multipLe data streams constrained by a sliding time window. We conduct experiments using real data streams to evaluate the performance of the new aLgoritluns against traditional stream join aLgorithms. The experiments show significant performance improvements and aLso demonstrate the flexibility of our system ;n handling data streams. A muLti-sensor network appLicatioll for the intelligent detection of lwzardous materials ;s presented to illustrate the capabilities ofourframework.

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