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OSDI
2004
ACM
16 years 7 months ago
MapReduce: Simplified Data Processing on Large Clusters
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
Jeffrey Dean, Sanjay Ghemawat
VLDB
2007
ACM
181views Database» more  VLDB 2007»
16 years 7 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
EDBT
2008
ACM
111views Database» more  EDBT 2008»
16 years 7 months ago
On-line discovery of hot motion paths
We consider an environment of numerous moving objects, equipped with location-sensing devices and capable of communicating with a central coordinator. In this setting, we investig...
Dimitris Sacharidis, Kostas Patroumpas, Manolis Te...
EDBT
2008
ACM
172views Database» more  EDBT 2008»
16 years 7 months ago
Distributed privacy preserving k-means clustering with additive secret sharing
Recent concerns about privacy issues motivated data mining researchers to develop methods for performing data mining while preserving the privacy of individuals. However, the curr...
Albert Levi, Erkay Savas, Mahir Can Doganay, Thoma...
MOBISYS
2006
ACM
16 years 6 months ago
Using smart triggers for improved user performance in 802.11 wireless networks
The handoff algorithms in the current generation of 802.11 networks are primarily reactive in nature, because they wait until the link quality degrades substantially to trigger a ...
Vivek Mhatre, Konstantina Papagiannaki