Sept. 4, 2006 to Sept. 8, 2006
Marcin Gorawski , Silesian University of Technology, Poland
Pawel Marks , Silesian University of Technology, Poland
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DEXA.2006.61
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.
Marcin Gorawski, Pawel Marks, "Fault-Tolerant Distributed Stream Processing System", DEXA, 2006, 2012 23rd International Workshop on Database and Expert Systems Applications, 2012 23rd International Workshop on Database and Expert Systems Applications 2006, pp. 395-399, doi:10.1109/DEXA.2006.61