Hyperdatabases: Infrastructure for the Information Space
Proceedings of the IFIP TC2/WG2.6 Sixth Working Conference on Visual Database Systems: Visual and Multimedia Information Management
Scalable Peer-to-Peer Process Management - The OSIRIS Approach
ICWS '04 Proceedings of the IEEE International Conference on Web Services
Hyperdatabases for Peer-to-Peer Data Stream Processing
ICWS '04 Proceedings of the IEEE International Conference on Web Services
Web service composition with O'GRAPE and OSIRIS
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Efficient and coordinated checkpointing for reliable distributed data stream management
ADBIS'06 Proceedings of the 10th East European conference on Advances in Databases and Information Systems
The Hyperdatabase Project --- From the Vision to Realizations
BNCOD '08 Proceedings of the 25th British national conference on Databases: Sharing Data, Information and Knowledge
Reliable distributed data stream management in mobile environments
Information Systems
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The proliferation of software and hardware sensors which continuously create large amounts of data has significantly facilitated novel types of applications such as healthcare telemonitoring or roadside traffic management. All these applications demand new mechanisms for online processing and analysis of relevant data coming from multiple data streams. Especially telemonitoring applications in healthcare require a high degree of reliability and must be able to be deployed in a distributed environment. We present OSIRIS-SE, an infrastructure for reliable data stream management in a failure-prone distributed setting including resource-limited mobile devices. OSIRIS-SE supports the combination of different data stream operators into stream processes and offers efficient coordinated operator check pointing for the execution of these stream processes. In order to support mobile devices, OSIRIS-SE is able to deal with multiple failures, offers fine-grained reliability at operator level, and supports decentralized stream process orchestration in a peer-to-peer fashion. Moreover, OSIRIS-SE is fully implemented in Java and thus can be run on different platforms. The demo shows the reliable execution of stream processes in a health monitoring application including a wearable ECG sensor, a Bluetooth enabled blood pressure sensor, and a web cam as data sources. Operators are hosted at mobile devices (PDAs, smart phones) of a patient and at a laptop computer which also acts as base station. An important feature of the demo is to show that sensor data can losslessly be processed by seamlessly migrating stream processing to other devices in the network even in case of multiple failures.