Fault-Tolerant Distributed Stream Processing System

Authors:
Marcin Gorawski;Pawel Marks
Affiliations:
Silesian University of Technology, Poland;Silesian University of Technology, Poland
Venue:
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Year:
2006

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Abstract

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.