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SIGMETRICS
2008
ACM
128views Hardware» more  SIGMETRICS 2008»
14 years 9 months ago
Confident estimation for multistage measurement sampling and aggregation
Measurement, collection, and interpretation of network usage data commonly involves multiple stage of sampling and aggregation. Examples include sampling packets, aggregating them...
Edith Cohen, Nick G. Duffield, Carsten Lund, Mikke...
CCR
2002
105views more  CCR 2002»
14 years 9 months ago
Adaptive packet sampling for flow volume measurement
Traffic measurement and monitoring are an important component of network management and traffic engineering. With high-speed Internet backbone links, efficient and effective packe...
Baek-Young Choi, Jaesung Park, Zhi-Li Zhang
CSE
2009
IEEE
15 years 4 months ago
Self-Tuning the Parameter of Adaptive Non-linear Sampling Method for Flow Statistics
—Flow statistics is a basic task of passive measurement and has been widely used to characterize the state of the network. Adaptive Non-Linear Sampling (ANLS)is one of the most a...
Chengchen Hu, Bin Liu
MASCOTS
2007
14 years 11 months ago
Adaptive Sampling for Efficient MPSoC Architecture Simulation
—Modern micro-architecture simulators are many orders of magnitude slower than the hardware they simulate. The use of multiprocessor architectures for supporting future mobile an...
Melhem Tawk, Khaled Z. Ibrahim, Smaïl Niar
SDM
2008
SIAM
134views Data Mining» more  SDM 2008»
14 years 11 months ago
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...