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SOFSEM
2009
Springer
16 years 3 months ago
Polylog Space Compression Is Incomparable with Lempel-Ziv and Pushdown Compression
This paper considers online compression algorithms that use at most polylogarithmic space (plogon). These algorithms correspond to compressors in the data stream model. We study th...
Elvira Mayordomo, Philippe Moser
SIGMETRICS
2008
ACM
116views Hardware» more  SIGMETRICS 2008»
15 years 6 months ago
Optimal sampling in state space models with applications to network monitoring
Advances in networking technology have enabled network engineers to use sampled data from routers to estimate network flow volumes and track them over time. However, low sampling ...
Harsh Singhal, George Michailidis
MA
2010
Springer
85views Communications» more  MA 2010»
15 years 4 months ago
K-sample subsampling in general spaces: The case of independent time series
The problem of subsampling in two-sample and K-sample settings is addressed where both the data and the statistics of interest take values in general spaces. We focus on the case ...
Dimitris N. Politis, Joseph P. Romano
AAAI
2008
15 years 8 months ago
Hidden Dynamic Probabilistic Models for Labeling Sequence Data
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...
Xiaofeng Yu, Wai Lam
INFOCOM
2011
IEEE
14 years 10 months ago
Consolidating virtual machines with dynamic bandwidth demand in data centers
—Recent advances in virtualization technology have made it a common practice to consolidate virtual machines(VMs) into a fewer number of servers. An efficient consolidation sche...
Meng Wang, Xiaoqiao Meng, Li Zhang 0002