Issues in data stream management
ACM SIGMOD Record
Tribeca: a system for managing large databases of network traffic
ATEC '98 Proceedings of the annual conference on USENIX Annual Technical Conference
Confidence-based data management for personal area sensor networks
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
Sensor-based Pervasive Healthcare System: Design and implementation
Journal of High Speed Networks - Broadband Multimedia Sensor Networks in Healthcare Applications
Enabling resource-awareness for in-network data processing in wireless sensor networks
ADC '08 Proceedings of the nineteenth conference on Australasian database - Volume 75
Physiological signal monitoring in the waiting areas of an emergency room
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
Body sensor data processing using stream computing
Proceedings of the international conference on Multimedia information retrieval
Real-time analysis for short-term prognosis in intensive care
IBM Journal of Research and Development
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The need of a data stream management system(DSMS), with the capability of querying continuous datastreams, has been well understood by the databaseresearch community and witnessed by a proliferation ofrelated publications in this area (see, e.g., for a partialsurvey). Examples of applications abound in manydomains: from environmental and military applicationsconsuming streams of sensor data, to telecommunicationsand data network assurance systems analyzing real-timenetwork traffic data.This article provides an overview on a DSMSprototype called T2. T2 inherits some of the concepts ofan early prototype, Tribeca, developed also atTelcordia, but with complete new design andimplementation in Java with an SQL-like query language.