Today many current and emerging applications require support for on-line analysis of rapidly changing data streams. Limitations of traditional DBMSs in supporting streaming applications have been recognized, prompting research to augment existing technologies and build new systems to manage streaming data. Stream-oriented systems are inherently geographically distributed and because distribution offers scalable load management and higher availability, future stream processing systems will operate in a distributed fashion. Moreover, service-based approaches have gained considerable attention recently for supporting distributed application development in e-business and e-science. In this paper, we present our innovative work to build a large scale distributed query processing over streaming data, this system has been designed as a WSRF-compliant application built on top of standard Web services technologies. Our distributed data stream Queries are written and evaluated over distributed resources discovered and accessed using emerging the WSResource Framework specifications. The data stream query processor has been designed and implemented as a collection of cooperating services, using the facilities of the WSRF to dynamically discover, access and use computational resources to support query compilation and evaluation. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Le, J. J., & Liu, J. W. (2005). DDSQP: A WSRF-based distributed data stream query system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3758 LNCS, pp. 833–844). https://doi.org/10.1007/11576235_83
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