Paper Info
Title
An analytical model for delivery evaluation of multimodal contents in pervasive computing
Abstract
Recent advance of mobile and interactive devices, such as smart phones, PDAs, and handheld computers, enables to deliver multimodal contents based on users and their environments. In pervasive computing, multimodal contents are mainly composed of multiple components which are often delivered from distributed multiple sources. Therefore, how appropriate contents can be provided to users and how computing resources can be effectively exploited are critical issues. In this paper, an analytical model for multimodal contents is developed based on a queueing theory for the purpose of delivery evaluation of the contents. The model can be applied to estimate how delivery parameters of multimodal contents, such as arrival rates, drop rates, and the number of packets, can impact overall the quality of services in terms of temporal aspects. A numerical example of weather information delivery is provided to illustrate the effectiveness of the proposed model.
Year
DOI
Venue
2010
10.1016/j.compind.2009.12.009
Computers in Industry
Keywords
DocType
Volume
analytical model,Content delivery,Analytical model,multimodal content,delivery parameter,multiple source,Queueing theory,Multimodal contents,computing resource,weather information delivery,multiple component,delivery evaluation,pervasive computing,proposed model
Journal
61
Issue
ISSN
Citations 
5
Computers in Industry
0
PageRank 
References 
Authors
0.34
24
5
Name
Order
Citations
PageRank
Dongmin Shin111816.11
Sun Hur2236.88
Hyun Lee300.34
Jingyu Nam401.01
Jae-Yoon Jung529731.94