Skip to Main Content (Press Enter)

Logo UNILINK
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture

UNI-FIND
Logo UNILINK

|

UNI-FIND

unilink.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  1. Pubblicazioni

Satellite multi-beam multicast support for an efficient community-based CDN

Articolo
Data di Pubblicazione:
2022
Abstract:
The design and implementation of an efficient end-to-end IP-based infrastructure for the delivery of multimedia content is of paramount importance in current public networks, dominated by the constant growth of video streaming traffic. Content Delivery Networks (CDNs) represent the main technological solution to manage the huge volumes of traffic involved, by guaranteeing high quality levels to applications and low impact to the core networks, thanks to the efficient distribution of content among edge caches that are located as close as possible to end-users. Nonetheless, the hierarchical data distribution associated with CDNs can be in principle subject to inefficiencies, as well as performance limitations in case of congested segments along the end-to-end delivery path. In this context, we propose the exploitation of satellite multicast capabilities offered by modern high throughput satellite (HTS) platforms, in a virtualized-compatible model, to compensate for flaws of terrestrial networks. The role of satellite communication is to offer multicast support (as a complement to landline connectivity) with wide geographical service areas based on the available satellite beams, enabling a popularity-based content distribution support. In addition, multi-beam satellite technology allows for a more fine-grained approach to popularity evaluation based on user location. The proposed service and the related network configuration are described in the paper, in relation with current and future SatCom platforms. We then present the results of the proposed CDN caching algorithms in a simulated environment, showing promising results associated with a preliminary performance evaluation.
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Luglio, M; Romano, Sp; Roseti, C; Zampognaro, F
Autori di Ateneo:
ZAMPOGNARO FRANCESCO
Link alla scheda completa:
https://iris.unilink.it/handle/20.500.14085/11546
Pubblicato in:
COMPUTER NETWORKS
Journal
  • Dati Generali

Dati Generali

URL

https://www.sciencedirect.com/science/article/pii/S1389128622003863
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.6.0.0