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IWCMC
2010
ACM
13 years 7 months ago
On the use of random neural networks for traffic matrix estimation in large-scale IP networks
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
Pedro Casas, Sandrine Vaton
CORR
2007
Springer
144views Education» more  CORR 2007»
13 years 5 months ago
Distributing the Kalman Filter for Large-Scale Systems
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
Usman A. Khan, José M. F. Moura
CCR
2005
129views more  CCR 2005»
13 years 4 months ago
The problem of synthetically generating IP traffic matrices: initial recommendations
There exist a wide variety of network design problems that require a traffic matrix as input in order to carry out performance evaluation. The research community has not had at it...
Antonio Nucci, Ashwin Sridharan, Nina Taft
GLOBECOM
2007
IEEE
13 years 11 months ago
Process for QoS-Aware IP Network Planning Using Accounting Data and Effective Bandwidth Estimation
- In this paper we describe QoSPlan – a generalized process for preparing information relevant to QoS-aware IP network planning. QoSPlan is designed to reduce the cost of deploym...
Alan Davy, Dmitri Botvich, Brendan Jennings
PAM
2010
Springer
13 years 7 months ago
OpenTM: Traffic Matrix Estimator for OpenFlow Networks
Abstract. In this paper we present OpenTM, a traffic matrix estimation system for OpenFlow networks. OpenTM uses built-in features provided in OpenFlow switches to directly and acc...
Amin Tootoonchian, Monia Ghobadi, Yashar Ganjali