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» Controlling data movement in global computing applications
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SIGMOD
2003
ACM
145views Database» more  SIGMOD 2003»
16 years 6 months ago
Evaluating Probabilistic Queries over Imprecise Data
Many applications employ sensors for monitoring entities such as temperature and wind speed. A centralized database tracks these entities to enable query processing. Due to contin...
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabha...
IPSN
2004
Springer
15 years 11 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
SDM
2012
SIAM
340views Data Mining» more  SDM 2012»
13 years 8 months ago
IntruMine: Mining Intruders in Untrustworthy Data of Cyber-physical Systems
A Cyber-Physical System (CPS) integrates physical (i.e., sensor) devices with cyber (i.e., informational) components to form a situation-aware system that responds intelligently t...
Lu An Tang, Quanquan Gu, Xiao Yu, Jiawei Han, Thom...
SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
16 years 6 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
JFP
2010
107views more  JFP 2010»
15 years 4 months ago
Lightweight checkpointing for concurrent ML
Transient faults that arise in large-scale software systems can often be repaired by re-executing the code in which they occur. Ascribing a meaningful semantics for safe re-execut...
Lukasz Ziarek, Suresh Jagannathan