Impact of different cloud deployments on real-time video applications for mobile video cloud users

Kashif A. Khan, Qi Wang, Chunbo Luo, Xinheng Wang, Christos Grecos

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

The latest trend to access mobile cloud services through wireless network connectivity has amplified globally among both entrepreneurs and home end users. Although existing public cloud service vendors such as Google, Microsoft Azure etc. are providing on-demand cloud services with affordable cost for mobile users, there are still a number of challenges to achieve high-quality mobile cloud based video applications, especially due to the bandwidth-constrained and errorprone mobile network connectivity, which is the communication bottleneck for end-to-end video delivery. In addition, existing accessible clouds networking architectures are different in term of their implementation, services, resources, storage, pricing, support and so on, and these differences have varied impact on the performance of cloud-based real-time video applications. Nevertheless, these challenges and impacts have not been thoroughly investigated in the literature. In our previous work, we have implemented a mobile cloud network model that integrates localized and decentralized cloudlets (mini-clouds) and wireless mesh networks. In this paper, we deploy a real-time framework consisting of various existing Internet cloud networking architectures (Google Cloud, Microsoft Azure and Eucalyptus Cloud) and a cloudlet based on Ubuntu Enterprise Cloud over wireless mesh networking technology for mobile cloud end users. It is noted that the increasing trend to access real-time video streaming over HTTP/HTTPS is gaining popularity among both research and industrial communities to leverage the existing web services and HTTP infrastructure in the Internet. To study the performance under different deployments using different public and private cloud service providers, we employ real-time video streaming over the HTTP/HTTPS standard, and conduct experimental evaluation and in-depth comparative analysis of the impact of different deployments on the quality of service for mobile video cloud users. Empirical results are presented and discussed to quantify and explain the different impacts resulted from various cloud deployments, video application and wireless/mobile network setting, and user mobility. Additionally, this paper analyses the advantages, disadvantages, limitations and optimization techniques in various cloud networking deployments, in particular the cloudlet approach compared with the Internet cloud approach, with recommendations of optimized deployments highlighted. Finally, federated clouds and inter-cloud collaboration challenges and opportunities are discussed in the context of supporting real-time video applications for mobile users.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Real-Time Image and Video Processing 2015
EditorsNasser Kehtarnavaz, Matthias F. Carlsohn
PublisherSPIE
ISBN (Electronic)9781628414905
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventReal-Time Image and Video Processing 2015 - San Francisco, United States
Duration: 10 Feb 2015 → …

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9400
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceReal-Time Image and Video Processing 2015
Country/TerritoryUnited States
CitySan Francisco
Period10/02/15 → …

Keywords

  • Cloudlet
  • Eucalyptus
  • Google cloud
  • Microsoft Azure
  • real-time cloud application
  • wireless mesh network

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