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» Streaming data integration: Challenges and opportunities
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CIDR
2007
173views Algorithms» more  CIDR 2007»
13 years 6 months ago
Database Servers on Chip Multiprocessors: Limitations and Opportunities
Prior research shows that database system performance is dominated by off-chip data stalls, resulting in a concerted effort to bring data into on-chip caches. At the same time, hi...
Nikos Hardavellas, Ippokratis Pandis, Ryan Johnson...
RTCSA
2007
IEEE
13 years 11 months ago
MB++: An Integrated Architecture for Pervasive Computing and High-Performance Computing
MB++ is a system that caters to the dynamic needs of applications in a distributed, pervasive computing environment that has a wide variety of devices that act as producers and co...
David J. Lillethun, David Hilley, Seth Horrigan, U...
JBI
2007
127views Bioinformatics» more  JBI 2007»
13 years 5 months ago
Data integration and genomic medicine
Genomic medicine aims to revolutionize health care by applying our growing understanding of the molecular basis of disease. Research in this arena is data intensive, which means d...
Brenton Louie, Peter Mork, Fernando Martín-...
DMSN
2008
ACM
13 years 7 months ago
A substrate for in-network sensor data integration
With the ultimate goal of extending the data integration paradigm and query processing capabilities to ad hoc wireless networks, sensors, and stream systems, we consider how to su...
Svilen R. Mihaylov, Marie Jacob, Zachary G. Ives, ...
COOPIS
2004
IEEE
13 years 9 months ago
A Distributed and Parallel Component Architecture for Stream-Oriented Applications
Abstract. This paper introduces ThreadMill - a distributed and parallel component architecture for applications that process large volumes of streamed (time-sequenced) data, such a...
Paulo Barthelmess, Clarence A. Ellis