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- W2115514503 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" @default.
- W2115514503 created "2016-06-24" @default.
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- W2115514503 date "2006-10-24" @default.
- W2115514503 modified "2023-09-26" @default.
- W2115514503 title "Fault-Tolerant Distributed Stream Processing System" @default.
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- W2115514503 doi "https://doi.org/10.1109/dexa.2006.61" @default.
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