Abstract | ||
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Increasing attention on data streams has led to research in developing systems for querying streaming data. Special challenges arise, when data are gathered using networked devices which have constrained resources. Examples for such systems are sensor networks where motes can use their processing capability to reduce communication and save energy. Yet, it is still an open research issue how stream queries can optimally be processed in such networks. In this paper we address the problem of mapping stream queries to heterogeneous device-networks. We present a metric for handling the trade-off between quality of service (QoS) and energy consumption. This includes a model which describes how query operators and their hosting devices affect energy consumption and QoS. Based on the model we have developed an algorithm that optimizes mappings and the mapped query plans for a given network. We also discuss results calculated by a prototype that uses our metric |
Year | DOI | Venue |
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2006 | 10.1109/PERSER.2006.1652239 | PERSER '06 Proceedings of the 2006 ACS/IEEE International Conference on Pervasive Services |
Keywords | Field | DocType |
optimisation,quality of service,query processing,data stream processing,energy consumption,heterogeneous device-networks,quality of service,smart devices,stream query mapping | Information system,Data stream mining,Computer science,Computer network,Quality of service,Ubiquitous computing,Intelligent Network,Stream processing,Energy consumption,Wireless sensor network,Distributed computing | Conference |
ISBN | Citations | PageRank |
1-4244-0237-9 | 0 | 0.34 |
References | Authors | |
7 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Holger Ziekow | 1 | 150 | 18.30 |
Lenka Ivantysynova | 2 | 35 | 4.56 |