Share Email Print

Proceedings Paper

Comparative study of internet cloud and cloudlet over wireless mesh networks for real-time applications
Author(s): Kashif A. Khan; Qi Wang; Chunbo Luo; Xinheng Wang; Christos Grecos
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Mobile cloud computing is receiving world-wide momentum for ubiquitous on-demand cloud services for mobile users provided by Amazon, Google etc. with low capital cost. However, Internet-centric clouds introduce wide area network (WAN) delays that are often intolerable for real-time applications such as video streaming. One promising approach to addressing this challenge is to deploy decentralized mini-cloud facility known as cloudlets to enable localized cloud services. When supported by local wireless connectivity, a wireless cloudlet is expected to offer low cost and high performance cloud services for the users. In this work, we implement a realistic framework that comprises both a popular Internet cloud (Amazon Cloud) and a real-world cloudlet (based on Ubuntu Enterprise Cloud (UEC)) for mobile cloud users in a wireless mesh network. We focus on real-time video streaming over the HTTP standard and implement a typical application. We further perform a comprehensive comparative analysis and empirical evaluation of the application’s performance when it is delivered over the Internet cloud and the cloudlet respectively. The study quantifies the influence of the two different cloud networking architectures on supporting real-time video streaming. We also enable movement of the users in the wireless mesh network and investigate the effect of user’s mobility on mobile cloud computing over the cloudlet and Amazon cloud respectively. Our experimental results demonstrate the advantages of the cloudlet paradigm over its Internet cloud counterpart in supporting the quality of service of real-time applications.

Paper Details

Date Published: 15 May 2014
PDF: 11 pages
Proc. SPIE 9139, Real-Time Image and Video Processing 2014, 91390K (15 May 2014); doi: 10.1117/12.2052474
Show Author Affiliations
Kashif A. Khan, Univ. of the West of Scotland (United Kingdom)
Qi Wang, Univ. of the West of Scotland (United Kingdom)
Chunbo Luo, Univ. of the West of Scotland (United Kingdom)
Xinheng Wang, Univ. of the West of Scotland (United Kingdom)
Christos Grecos, Univ. of the West of Scotland (United Kingdom)

Published in SPIE Proceedings Vol. 9139:
Real-Time Image and Video Processing 2014
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

© SPIE. Terms of Use
Back to Top