Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/2F385398-6DC0-44C6-A6DE-4B92190C653F | ||
| Year | 2006 | ||
| Type of Item | Conference Publication | ||
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| Bibliographic Citation | M. Garofalakis, K. P. Brown, M. J. Franklin, J. M. Hellerstein, D. Z. Wang, E. Michelakis, L. Tancau, E. Wu, S. R. Jeffery and R. Aipperspach, "Probabilistic data management for pervasive computing: the data furnace project", in IEEE Data Engineering Bulletin, vol. 29, no. 1, March 2006. | ||
| Appears in Collections |
The wide deployment of wireless sensor and RFID (Radio Frequency IDentification) devices is one of the key enablersfor next-generation pervasive computing applications, including large-scale environmental monitoring andcontrol, context-aware computing, and “smart digital homes”. Sensory readings are inherently unreliable andtypically exhibit strong temporal and spatial correlations (within and across different sensing devices); effectivereasoning over such unreliable streams introduces a host of new data management challenges. The Data Furnaceproject at Intel Research and UC-Berkeley aims to build a probabilistic data management infrastructure for pervasivecomputing environments that handles the uncertain nature of such data as a first-class citizen through aprincipled framework grounded in probabilistic models and inference techniques.
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