TY - GEN
T1 - Collecting data streams from a distributed radio-based measurement system
AU - Gorawski, Marcin
AU - Marks, Pawel
AU - Gorawski, Michal
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Fault-tolerance
KW - Sensor networks
KW - Stream processing
UR - https://www.scopus.com/pages/publications/47249102019
U2 - 10.1007/978-3-540-78568-2_67
DO - 10.1007/978-3-540-78568-2_67
M3 - Conference contribution
AN - SCOPUS:47249102019
SN - 3540785671
SN - 9783540785675
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 702
EP - 705
BT - Database Systems for Advanced Applications - 13th International Conference, DASFAA 2008, Proceedings
T2 - 13th International Conference on Database Systems for Advanced Applications, DASFAA 2008
Y2 - 19 March 2008 through 21 March 2008
ER -