Service Function Chaining (SFC) is a service deployment concept that promises cost efficiency and increases flexibility for computer networks. On the other hand, Software Defined Networking (SDN) provides a powerful infrastructure to implement SFC. In this paper, we mathematically formulate the SFC problem in SDN-based networks. In this way, the energy consumption of the network is minimized while the traffic congestion is controlled through network reconfiguration.Additionally, a low complex heuristic algorithm is proposed to find a near-optimal solution for the mentioned problem. Simulation results show that the proposed heuristic reconfigures the network in a way that the energy consumption is near-optimal while the SFC requirements are met. Besides, the computational complexity is very low which makes it applicable for real-world networks.

Tajiki, M.m., Salsano, S., Shojafar, M., Chiaraviglio, L., Akbari, B. (2018). Energy-efficient path allocation heuristic for service function chaining. In Conference on Innovation in Clouds, Internet and Networks (ICIN) (pp.1-8). IEEE [10.1109/ICIN.2018.8401618].

Energy-efficient path allocation heuristic for service function chaining

Salsano S.;Chiaraviglio L.;
2018-01-01

Abstract

Service Function Chaining (SFC) is a service deployment concept that promises cost efficiency and increases flexibility for computer networks. On the other hand, Software Defined Networking (SDN) provides a powerful infrastructure to implement SFC. In this paper, we mathematically formulate the SFC problem in SDN-based networks. In this way, the energy consumption of the network is minimized while the traffic congestion is controlled through network reconfiguration.Additionally, a low complex heuristic algorithm is proposed to find a near-optimal solution for the mentioned problem. Simulation results show that the proposed heuristic reconfigures the network in a way that the energy consumption is near-optimal while the SFC requirements are met. Besides, the computational complexity is very low which makes it applicable for real-world networks.
2018 21st Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)
Rilevanza internazionale
2018
Settore ING-INF/03 - TELECOMUNICAZIONI
English
Intervento a convegno
Tajiki, M.m., Salsano, S., Shojafar, M., Chiaraviglio, L., Akbari, B. (2018). Energy-efficient path allocation heuristic for service function chaining. In Conference on Innovation in Clouds, Internet and Networks (ICIN) (pp.1-8). IEEE [10.1109/ICIN.2018.8401618].
Tajiki, Mm; Salsano, S; Shojafar, M; Chiaraviglio, L; Akbari, B
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/216139
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 20
  • ???jsp.display-item.citation.isi??? 1
social impact