# Network Kriging

@article{Chua2006NetworkK, title={Network Kriging}, author={David B. Chua and Eric D. Kolaczyk and Mark Crovella}, journal={IEEE Journal on Selected Areas in Communications}, year={2006}, volume={24}, pages={2263-2272} }

Network service providers and customers are often concerned with aggregate performance measures that span multiple network paths. Unfortunately, forming such network-wide measures can be difficult, due to the issues of scale involved. In particular, the number of paths grows too rapidly with the number of endpoints to make exhaustive measurement practical. As a result, it is of interest to explore the feasibility of methods that dramatically reduce the number of paths measured in such…

## 71 Citations

### Network-Wide Statistical Modeling, Prediction, and Monitoring of Computer Traffic

- Computer ScienceTechnometrics
- 2013

This article explores the problem of using observed traffic measurements on selected links to predict the traffic on other, unobserved links, and introduces an adjusted control chart methodology that shows possible applications of the prediction results in situations where all links may be observed.

### Efficient Approximation Algorithms for Optimal Large-scale Network Monitoring

- Computer ScienceArXiv
- 2012

A number of approximation algorithms are presented that are amenable for randomized implementation and execution in parallel or distributed fashion, a process that often yields the exact solution in a well know NP-hard problem.

### Fast Algorithms for Optimal Link Selection in Large-Scale Network Monitoring

- Computer ScienceIEEE Transactions on Signal Processing
- 2013

A number of fast algorithms are developed that improve upon existing algorithms in terms of computational complexity and accuracy and exploit the geometry of principal component analysis, which also leads to new types of theoretical bounds on the prediction error.

### Network-wide Statistical Modeling and Prediction of Computer Traffic

- Computer Science
- 2010

It is demonstrated how an expensively obtained set of measurements may be used to develop a network-specific model of the traffic across the network, which may then be used in conjunction with easily obtainable measurements to provide more accurate prediction than is possible with only the inexpensive measurements.

### Sampling biases in network path measurements and what to do about it

- Computer ScienceIMC '09
- 2009

The Broom toolkit is presented that has three methods to correct for sampling biases in network path measurements and reduces bias for a wide range of path properties, such as latency, hop count and capacity.

### Rating Network Paths for Locality-Aware Overlay Construction and Routing

- Computer ScienceIEEE/ACM Transactions on Networking
- 2015

It is shown that such coarse-grained knowledge can improve the performance of peer selection and that finer granularities do not always lead to larger improvements.

### Problems in Spatio-Temporal Modelling, Kriging, and Prediction of Computer Network Traffic

- Computer Science
- 2012

This work explores a statistical framework for simultaneously modeling the traffic levels on links across an entire network and using the model to solve a variety of statistical problems, including prediction of traffic on unobserved links and the detection of statistical anomalies.

### First Elephants then Mice: A Two-stage Robust Estimation Technique for Traffic Matrix in Large Cloud Networks in Presence of Over Dispersion

- Computer ScienceTENCON 2018 - 2018 IEEE Region 10 Conference
- 2018

This work forms a two step optimization approach in which elephant flows which are more closer to Gaussian approximation are estimate in first step with reasonable accuracy with more estimation error for over-dispersed mice flows, and refined through a second bounded-value optimization step by adding an additional constraint.

### Data-Driven Network Analysis and Applications

- Computer Science
- 2016

This thesis studies three specific problems on missing data interpolation in computer networking, and proposes two new algorithms, namely HyperPath and Valley-free HyperPath, which can significantly reduce inter-AS traffic for P2P applications with an improved AS path prediction accuracy.

### Network tomography using genetic algorithms

- Computer ScienceTENCON 2012 IEEE Region 10 Conference
- 2012

The feasibility on using genetic algorithms for the network tomography problem is investigated and it is found that biologically inspired genetic approaches to solving such optimization problems offers much flexibility in finding an optimal solution.

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