Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/9030
Title: Context-awareness in mobile web services
Authors: Han, Bo 
Jia, Weijia 
Shen, Ji 
Dr. YUEN Man-Ching, Connie 
Issue Date: 2004
Publisher: Springer, Berlin, Heidelberg
Source: Han, Bo, Jia, Weijia, Shen, Ji & Yuen, Man Ching (2004). Context-awareness in mobile web services. In Cao, Jiannong, Yang, Laurence T., Guo, Minyi & Lau, Francis (Eds.). Parallel and distributed processing and applications : Second international symposium, ISPA 2004, Hong Kong, China, December 13-15, 2004, proceedings. Second International Symposium, International Symposium on Parallel and Distributed Processing and Applications 2004, Hong Kong, China (pp.519-528). Springer, Berlin, Heidelberg.
Conference: International Symposium on Parallel and Distributed Processing and Applications 2004 
Abstract: Context-aware computing is a computing paradigm in which applications can take advantage of contextual information. Quality of network connection is a very important factor for mobile web services. However, the conditions of mobile networks may change frequently and dynamically. Thus, providing support for context-aware applications is especially important in mobile web services. Recently, a number of architectures supporting context-aware applications have been developed, but little attention is paid to the special requirements of mobile devices which particularly have many constraints. This paper discusses a client-proxy-server architecture that supports context-awareness by considering types of device, network and application characteristics. The contribution of this paper mainly lies in the division of labor between proxy and server. Application specific proxy is used to tailor the original resource based on the mobile user’s context information. To prove the feasibility, a context-aware image management system is designed and realized.
Type: Conference Paper
URI: http://hdl.handle.net/20.500.11861/9030
ISBN: 9783540241287
9783540305668
DOI: https://doi.org/10.1007/978-3-540-30566-8_62
Appears in Collections:Applied Data Science - Publication

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