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IWCMC
2010
ACM
13 years 9 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 7 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 7 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
14 years 2 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 9 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