| KEYWORD |
Autonomic network monitoring
Thesis abroad
keywords AUTONOMIC NETWORKS
Reference persons PAOLO GIACCONE
External reference persons Prof.Antonio Liotta (Technische Universiteit Eindhoven, The Netherlands)
Research Groups Telecommunication Networks Group
Thesis type EXPERIMENTAL, SIMULATIVE
Description As networks become increasingly dynamic, the task of monitoring their activity for the purposes of management is extremely arduous. This project explores the use of machine learning for the development of a novel approach to network monitoring. The aim is to build an autonomic monitoring system whereby each node gradually develops estimates of the state of its surroundings. This 'predicted' state is matched against the 'real' state for self-learning purposes and is then shared with adjacent nodes. The hypothesis is that this 'probabilistic' approach can be more accurate, scalable and adaptive than the more conventional 'deterministic' monitoring systems.
In order to assess this hypothesis, the student will design the protocol internals, implement it within a network simulator, and carry out a comparative analysis.
Required skills The student is expected to have a strong background in networking, excellent programming skills in C/C++, and a good knowledge of Unix/Linux.
Notes This study will be executed at Technische Universiteit Eindhoven, The Netherlands. The student will be responsible for the travel and life expenses. Travel can be possibly funded through ERASMUS mobility grants for which the student has to apply in advance.
Deadline: December 2010
Deadline 25/10/2010
PROPONI LA TUA CANDIDATURA