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.

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].

A Scalable Cloud-Edge Computing Framework for Supporting Device-Adaptive Big Media Provisioning

Galletta, Antonino;
2018-01-01

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.
2018
Inglese
2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
669
674
6
978-1-5386-5815-4
https://ieeexplore.ieee.org/document/8411086/
IEEE Computer Society
USA
STATI UNITI D'AMERICA
Esperti anonimi
May 1-4, 2018
Washington, D.C.
Videos; Cloud computing; Containers; Transcoding; Streaming media; Computer architecture; Multimedia communication
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Galletta, Antonino; Cuzzocrea, Alfredo; Celesti, Antonio; Fazio, Maria; Villari, Massimo
273
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].
5
none
info:eu-repo/semantics/conferenceObject
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/47088
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