Comparative study of Internet cloud and cloudlet over wireless mesh networks for real-time applications

被引:2
|
作者
Khan, Kashif A. [1 ]
Wang, Qi [1 ]
Luo, Chunbo [1 ]
Wang, Xinheng [1 ]
Grecos, Christos [1 ]
机构
[1] Univ West Scotland, Sch Comp, Ctr Audio Visual Commun & Networks AVCN, Paisley PA1 2BE, Renfrew, Scotland
来源
关键词
Cloudlet; cloud; wireless mesh network; real-time cloud application; quality of service;
D O I
10.1117/12.2052474
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页数:11
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