ABSTRACT
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.
- American Heart Association. 2002 Heart and Stroke Statistical Update, 2001.Google Scholar
- G. Brettlecker, H. Schuldt, and R. Schatz. Hyperdatabases for Peer-to-Peer Data Stream Processing. In Proc. of ICWS Conf., pages 358--366, San Diego, CA, USA, 2004. Google ScholarDigital Library
- G. Brettlecker, H. Schuldt, and H. J. Schek. Towards Reliable Data Stream Processing with OSIRIS-SE. In Proc. of BTW Conf., pages 405--414, Karlsruhe, Germany, March 2005.Google Scholar
- G. Brettlecker, H. Schuldt, and H. J. Schek. Efficient and coordinated checkpointing for reliable distributed data stream management. In Proc. of ADBIS Conf., pages 296--312, Thessaloniki, Greece, September 2006. Google ScholarDigital Library
- H. J. Schek, H. Schuldt, and R. Weber. Hyperdatabases - Infrastructure for the Information Space. In Proc. of VDB Conf., pages 1--15, Brisbane, Australia, 2002. Google ScholarDigital Library
- C. Schuler, R. Weber, H. Schuldt, and H. J. Schek. Peer-to-Peer Process Execution with OSIRIS. In Proc. of ICSOC Conf., pages 483--498, Trento, Italy, 2003.Google ScholarCross Ref
- C. Schuler, R. Weber, H. Schuldt, and H. J. Schek. Scalable Peer-to-Peer Process Management - The OSIRIS Approach. In Proc. of ICWS Conf., pages 26--34, San Diego, CA, USA, 2004. Google ScholarDigital Library
- R. Weber, C. Schuler, P. Neukomm, H. Schuldt, and H. J.Schek. Web Service Composition with OGrape and OSIRIS. In Proc. of VLDB Conf., Berlin, Germany, 2003. Google ScholarDigital Library
Index Terms
The OSIRIS-SE (stream-enabled) infrastructure for reliable data stream management on mobile devices
Recommendations
Data Stream Management: Aggregation, Classification, Modeling, and Operator Placement
Data stream management is concerned with managing large streams of data arriving from data communications or sensor networks. Interest in this area is increasing, and it will grow rapidly over the coming decade, driven by rapid growth in the ...
Reliable distributed data stream management in mobile environments
The proliferation of sensor technology, especially in the context of embedded systems, has brought forward novel types of applications that make use of streams of continuously generated sensor data. Many applications like telemonitoring in healthcare or ...
Comments