A Scalable Cloud-Edge Computing Framework for Supporting Device-Adaptive Big Media Provisioning
Contributo in Atti di convegno
Data di Pubblicazione:
2018
Citazione:
A Scalable Cloud-Edge Computing Framework for Supporting Device-Adaptive Big Media Provisioning / Galletta, A., Cuzzocrea, A., Celesti, A., Fazio, M., Villari, M.. - (2018), pp. 669-674. (2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) Washington, D.C. May 1-4, 2018) [10.1109/CCGRID.2018.00099].
Abstract:
Nowadays, we are observing an explosion on recording and transmitting of videos from multiple sources such as Social Media (Periscope, Facebook, Youtube etc.) and owner of trains/coaches (Trenitalia-Frecce-Italy, TGV-France, Ryanair-Bus-Travels, etc.). In this paper, we investigate how to support the provisioning of videos to heterogeneous end user devices in different contexts, adapting the content to the specific requirements of the used end devices. In particular, we present a new Cloud-Edge Service for vIdeO delivery (CESIO) architecture, that exploits Cloud and Edge virtual resources to improve the delivery video contents at different quality resolutions. The paper describes architecture components and their behaviour in the system. Moreover, a possible application scenario is discussed to well explain how the proposed solution works.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
Videos; Cloud computing; Containers; Transcoding; Streaming media; Computer architecture; Multimedia communication
Elenco autori:
Galletta, Antonino; Cuzzocrea, Alfredo; Celesti, Antonio; Fazio, Maria; Villari, Massimo
Link alla scheda completa:
Titolo del libro:
2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)