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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-04222021-115419


Tipo di tesi
Tesi di laurea magistrale
Autore
USMAN, MUHAMMAD
Indirizzo email
m.usman1@studenti.unipi.it, usmankh3355@gmail.com
URN
etd-04222021-115419
Titolo
Implementation of a Finite-State-Machine-based Approach for Reliability Enhancement in SDN networks
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA E NETWORKING
Relatori
relatore Prof. Sambo, Nicola
relatore Fichera, Silvia
Parole chiave
  • Finite State Machine
  • NETCONF
  • network virtualization
  • Proactive recovery
  • qemu
  • SDN
Data inizio appello
07/05/2021
Consultabilità
Non consultabile
Data di rilascio
07/05/2091
Riassunto
Emerging services applications (such as industrial automation and autonomous driving) require efficient control and management of the network infrastructure in order to assure stringent requirements (e.g., in terms of delay and jitter). Software-Defined Networking (SDN) provides efficient network control; however, some issues should be deeply investigated: e.g, scalability, failure recovery and real-time responsiveness. Fast network recovery when a fault occurs is not easy to achieve in large networks, due to the processing of the huge number of restoration requests to the SDN controller, resulting in a large recovery time. However, previous work demonstrated that dynamic fault recovery can be improved using proactive recovery mechanisms. Among them, a recovery mechanism based on a finite state machine (FSM) is here assumed operating with NETCONF protocol. While the network is operating in normal conditions, with FSM-based recovery, the SDN controller periodically instructs the network agents (i.e., devices’ local controllers) about the actions to perform in case of failure, which leads to faster recovery to failures. This way, when a failure occurs the agents react without SDN controller intervention. Such an approach is here investigated for Time-Sensitive Networks (TSNs).
This thesis first provides a literature review of i) proactive and reactive recovery strategies in SDN networks; ii) NETCONF protocol and YANG data modelling; iii) TSN. Then, it presents the FSM-based recovery controlled through NETCONF and YANG, named Delegated Restoration for Time-Sensitive Networks (DRTSN). Details on the implementation of DRTSN are here provided spanning from data to control plane. Finally, measurements are performed to evaluate the performance of DRTSN.
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