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17th International Conference on Database and Expert Systems Applications (DEXA'06)
Fault-Tolerant Distributed Stream Processing System
Krakow, Poland
September 04-September 08
ISBN: 0-7695-2641-1
Marcin Gorawski, Silesian University of Technology, Poland
Pawel Marks, Silesian University of Technology, Poland
Real-time data processing systems are more and more popular nowadays. Data warehouses not only collect terabytes of data, they also process endless data streams. To support such a situation a data extraction process must become a continuous process also. Here a problem of a failure resistance arises. It is important not only to process a set of data on time, even more important is not to lose any data when a failure occurs. We achieve this by applying a redundant distributed stream processing. In this paper we present a fault-tolerant system designed for processing data streams originating from geographically distributed sources.
Citation:
Marcin Gorawski, Pawel Marks, "Fault-Tolerant Distributed Stream Processing System," dexa, pp.395-399, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006
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