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2000
ACM
13 years 11 months ago
Hardware Prediction for Data Coherency of Scientific Codes on DSM
This paper proposes a hardware mechanism for reducing coherency overhead occurring in scientific computations within DSM systems. A first phase aims at detecting, in the address s...
Jean-Thomas Acquaviva, William Jalby
BTW
2009
Springer
127views Database» more  BTW 2009»
14 years 2 months ago
In-Network Detection of Anomaly Regions in Sensor Networks with Obstacles
: In the past couple of years, sensor networks have evolved to a powerful infrastructure component for monitoring and tracking events and phenomena in many application domains. An ...
Conny Franke, Marcel Karnstedt, Daniel Klan, Micha...

Publication
244views
15 years 7 months ago
Phenomenon-aware Stream Query Processing
Spatio-temporal data streams that are generated from mobile stream sources (e.g., mobile sensors) experience similar environmental conditions that result in distinct phenomena. Sev...
M. H. Ali, Mohamed F. Mokbel, Walid G. Aref
ICDE
2010
IEEE
198views Database» more  ICDE 2010»
14 years 24 days ago
Power-aware data analysis in sensor networks
Abstract— Sensor networks have evolved to a powerful infrastructure component for event monitoring in many application scenarios. In addition to simple filter and aggregation op...
Daniel Klan, Katja Hose, Marcel Karnstedt, Kai-Uwe...
SIGMOD
2007
ACM
164views Database» more  SIGMOD 2007»
14 years 7 months ago
Fast data stream algorithms using associative memories
The primary goal of data stream research is to develop space and time efficient solutions for answering continuous online summarization queries. Research efforts over the last dec...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...