Roberto Bressani
IP networks monitoring with BigData - A passive approach for large-scale networks’ performance analysis.
Rel. Riccardo Sisto, Guido Marchetto. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) | Preview |
Abstract
Monitoring of traffic in an IP network is a crucial point to prevent big failures of the system and to deliver a good quality of service to end-users. This is a key factor of success for large-scale Internet Service Providers. For this reason, Telecom Italia developed a series of techniques that have been defined as Alternate Marking Performance Monitoring. The main requirements of this system are scalability, robustness, and flexibility. This work aims to develop and test a system able to perform passive network monitoring exploiting Alternate Marking techniques in a multipoint environment. Starting from several works that have been carried out in the past, critical points that have been highlighted has been addressed, proposing a solution for some of them.
In order to powerfully monitor performances, it is necessary to split the network into balanced parts, so that the same level of detail can be detected in each of them
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
