Efficient transcoding and streaming mechanism in multiple cloud domains

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Abstract

Given the constantly growing demand for live streaming services, live transcoding has become compulsory and very challenging. So far, investigations have been confined to satisfy a huge number of users for ensuring the Quality of Experience (QoE). The aim of this paper is to propose a framework architecture following ESTI-NFV (Network Function Virtualization) model, whereby the transcoding and streaming Virtual Network Functions (VNFs) would be running on top of multiple cloud domains. By respecting ESTI-NFV model, we ensure the flexibility of our virtual delivery platform that scales up/down and in/out relative to the changing demands of the end-users in order to reduce cost. For this purpose, this paper presents a new framework for managing the virtual live transcoding and streaming VNFs on top of multiple cloud domains for ensuring the QoE while reducing the cost. In order to develop such a framework, we have done a set of experimental benchmarking of transcoding and streaming VNFs using variant flavors (i.e., in terms of CPU and Memory resources). The obtained results will be explored later for developing an intelligent algorithm that will be integrated with the proposed framework in managing different transcoding and streaming VNFs in an efficient manner.

Details

Original languageEnglish
Title of host publication 2017 IEEE Global Communications Conference, GLOBECOM 2017
Publication statusPublished - Dec 2017
MoE publication typeA4 Article in a conference publication
EventIEEE Global Communications Conference - Singapore, Singapore
Duration: 4 Dec 20178 Dec 2017

Publication series

NameIEEE Global Communications Conference
PublisherIEEE
ISSN (Print)2334-0983

Conference

ConferenceIEEE Global Communications Conference
Abbreviated titleGLOBECOM
CountrySingapore
CitySingapore
Period04/12/201708/12/2017

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