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An analytical model for delivery evaluation of multimodal contents in pervasive computing

Authors
Shin, DongminHur, SunLee, HyunNam, JingyuJung, Jae-Yoon
Issue Date
Jun-2010
Publisher
ELSEVIER
Keywords
Analytical model; Multimodal contents; Content delivery; Queueing theory
Citation
COMPUTERS IN INDUSTRY, v.61, no.5, pp.440 - 447
Indexed
SCIE
SCOPUS
Journal Title
COMPUTERS IN INDUSTRY
Volume
61
Number
5
Start Page
440
End Page
447
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/39787
DOI
10.1016/j.compind.2009.12.009
ISSN
0166-3615
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 multi modal 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. (C) 2009 Elsevier B.V. All rights reserved.
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ERICA 공학대학 (DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING)
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