Continuous queries over append-only databases
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
The CQL continuous query language: semantic foundations and query execution
The VLDB Journal — The International Journal on Very Large Data Bases
Real-Time Monitoring of Mobile Biological Sensor Data-Streams: Architecture and Cost-Model
MDMW '08 Proceedings of the 2008 Ninth International Conference on Mobile Data Management Workshops
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Monitoring and analyzing electrocardiogram(ECG) signals for the purpose of detecting cardiac arrhythmia is a challenging task, and often requires a Complex Event Processing (CEP) system to analyze real-time streamed data. Various server-based CEP engines exist today. However, they have practical limitations to be used in environments where network connectivity is poor and yet continuous real-time monitoring and analysis is critical. In this paper, we introduce a lightweight mobile-based CEP engine called Mobile Data Stream Management System (MDSMS) that runs on the smart phone. MDSMS is built on an extensible architecture with concepts such as lightweight scheduling and efficient tuple representation. MDSMS enables developers to easily incorporate domain specific functionalities with User Defined Operator (UDO) and User Defined Function (UDF). MDSMS also has other useful features, such as mechanisms for archiving streamed data in local or remote data stores. We also show effectiveness of our MDSMS by implementing a portable, continuous, and real-time cardiac arrhythmia detection system based on the MDSMS. The system consists of ECG sensor and a smart phone connected to each other via a wireless connection. MDSMS can detect and classify various arrhythmia conditions from ECG streams by executing arrhythmia detection algorithms written in Continuous Query Language.