Results
author = "Rocha, Miguel"
Internet traffic forecasting using neural networks
Description :
The forecast of Internet traffic is an important issue that has received few attention from the computer networks field. By improving this task, efficient traffic engineering and anomaly detection tools can be created, resulting in economic gains from better resource management. This paper presents ...
Repository :
RepositóriUM - University of Minho Institutional Repository
Language(s) :
English
Automatic provisioning of QoS aware OSPF configurations
Description :
This paper presents a contribution for the development
of network management tools able to automatically
provide QoS aware routing configurations. In
this perspective, a traffic engineering framework able to
provide near-optimal OSPF configurations is presented. The
devised solution takes into accou...
Repository :
RepositóriUM - University of Minho Institutional Repository
Language(s) :
English
Class-based OSPF traffic engineering inspired on evolutionary computation
Description :
This paper proposes a novel traffic engineering framework able to automatically provide near-optimal OSPF routing configurations for QoS constrained scenarios. Within this purpose, this work defines a mathematical model able to measure the QoS compliance in a class-based networking domain.
Based on ...
Repository :
RepositóriUM - University of Minho Institutional Repository
Language(s) :
English
Evolutionary computation for quality of service internet routing optimization
Description :
In this work, the main goal is to develop and evaluate a number of optimization algorithms in the task of improving Quality of Service
levels in TCP/IP based networks, by configuring the routing weights of
link-state protocols such as OSPF. Since this is a complex problem, some meta-heuristics from ...
Repository :
RepositóriUM - University of Minho Institutional Repository
Language(s) :
English
Topology aware Internet traffic forecasting using neural networks
Description :
Forecasting Internet traffic is receiving an increasing attention from the computer networks domain. Indeed, by improving this task efficient traffic engineering and anomaly detection tools can be developed, leading to economic gains due to better resource management. This paper presents a Neural Ne...
Repository :
RepositóriUM - University of Minho Institutional Repository
Language(s) :
English
An evolutionary algorithm for unicast/multicast traffic engineering
Description :
A number of Traffic Engineering (TE) approaches have been recently proposed to improve the performance of network routing protocols, both developed over MPLS and intra-domain protocols such as OSPF. In this work, a TE approach is proposed for routing optimization in scenarios where unicast and multi...
Repository :
RepositóriUM - University of Minho Institutional Repository
Language(s) :
English
Forecasting Internet traffic by Neural Networks under univariate and multivariate strategies
Description :
By improving Internet traffic forecasting, more efficient TCP/IP traffic control and anomaly detection tools can be developed, leading to economic gains due to better resource management. In this paper, Neural Networks (NNs) are used to predict TCP/IP traffic for 39 links of the UK education and res...
Repository :
RepositóriUM - University of Minho Institutional Repository
Language(s) :
English
Evolution of neural networks for classification and regression
Description :
Although Artificial Neural Networks (ANNs) are important Data Mining techniques, the search for the optimal ANN is a challenging task: the ANN should learn the input-output mapping without overfitting the data and training algorithms may get trapped in local minima. The use of Evolutionary Computati...
Repository :
RepositóriUM - University of Minho Institutional Repository
Language(s) :
English
Lamarckian training of feedforward neural networks
Description :
Living creatures improve their adaptation capabilities to a changing world by means of two orthogonal processes: evolution and lifetime learning. Within Artificial Intelligence, both mechanisms inspired the development of non-orthodox problem solving tools,
namely Genetic and Evolutionary Algorithm...
Repository :
RepositóriUM - University of Minho Institutional Repository
Language(s) :
English
The relationship between learning and evolution in static and dynamic environments
Description :
Evolution and lifetime learning have been adopted by living creatures to get the best of the adaptation processes to natural environments. Within the Machine Learning (ML) arena such methods have been treated, particularly in the fields of Genetic and Evolutionary Computation and Artificial Neural N...
Repository :
RepositóriUM - University of Minho Institutional Repository
Language(s) :
English