Efficient resumption of interrupted warehouse loads
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Fjording the Stream: An Architecture for Queries Over Streaming Sensor Data
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Fault-tolerance in the Borealis distributed stream processing system
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Fault-Tolerant Distributed Stream Processing System
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Distributed Stream Processing Analysis in High Availability Context
ARES '07 Proceedings of the The Second International Conference on Availability, Reliability and Security
Towards Reliability and Fault-Tolerance of Distributed Stream Processing System
DEPCOS-RELCOMEX '07 Proceedings of the 2nd International Conference on Dependability of Computer Systems
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Nowadays it becomes more and more popular to process rapid data streams representing real-time events, such as large scale financial transfers, road or network traffic, sensor data. Analysis of data streams enables new capabilities. It is possible to perform intrusion detection while it is happening, it is possible to predict road traffic basing on the analysis of the past and current vehicle flow. We addressed the problem of real-time analysis of the stream data from a radio-based measurement system. The system consists of large number of water, gas and electricity meters. Our work is focused on data delivery from meters to the stream data warehouse as quick as possible even if transmission failures occur. The system we designed is intended to increase significantly system reliability and availability. During this demonstration we want to present an example of the system capabilities.