167views more  TON 2010»
9 years 5 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
148views Management» more  TNN 2010»
9 years 5 months ago
A fast algorithm for robust mixtures in the presence of measurement errors
Abstract--In experimental and observational sciences, detecting atypical, peculiar data from large sets of measurements has the potential of highlighting candidates of interesting ...
Jianyong Sun, Ata Kabán
9 years 5 months ago
Modeling the relationship between software effort and size using deming regression
Background: The relation between software effort and size has been modeled in literature as exponential, in the sense that the natural logarithm of effort is expressed as a linear...
Nikolaos Mittas, Makrina Viola Kosti, Vasiliki Arg...
123views more  TIM 2011»
9 years 5 months ago
A Distributed Measurement Scheme for Internet Latency Estimation
—Estimating latency between the hosts in the Internet can play a significant role in the improvement of the performance of many services that use latency among hosts to make rout...
Negar Hariri, Behnoosh Hariri, Shervin Shirmohamma...
9 years 5 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
9 years 5 months ago
Semantic scheduling of active measurements for meeting network monitoring objectives
Network control and management techniques (e.g., dynamic path switching, on-demand bandwidth provisioning) rely on active measurements of end-to-end network status. These measureme...
Prasad Calyam, Lakshmi Kumarasamy, Füsun &Oum...
9 years 5 months ago
Reconstructing social interactions using an unreliable wireless sensor network
In the very active field of complex networks, research advances have largely been stimulated by the availability of empirical data and the increase in computational power needed ...
Adrien Friggeri, Guillaume Chelius, Eric Fleury, A...
123views more  DA 2010»
9 years 7 months ago
Paradoxes in Learning and the Marginal Value of Information
We consider the Bayesian ranking and selection problem, in which one wishes to allocate an information collection budget as efficiently as possible to choose the best among severa...
Peter Frazier, Warren B. Powell
119views more  CMPB 2010»
9 years 8 months ago
Estimation of coefficients of individual agreement (CIAs) for quantitative and binary data using SAS and R
: The coefficients of individual agreement (CIA's), which are based on the ratio of the intra- and inter-observer disagreement, provide a general approach for evaluating agree...
Yi Pan, Jingjing Gao, Michael Haber, Huiman X. Bar...
9 years 8 months ago
Test Redundancy Measurement Based on Coverage Information: Evaluations and Lessons Learned
Measurement and detection of redundancy in test suites attempt to achieve test minimization which in turn can help reduce test maintenance costs, and to also ensure the integrity ...
Negar Koochakzadeh, Vahid Garousi, Frank Maurer