Paper Info
Title
A New Wireless Web Access Mode Based on Cloud Computing
Abstract
As most websites are designed for desktop PCs, it is extremely uncomfortable to browse these large pages on a wireless handheld device with small screen and limited user interface. So it is necessary to adapt these web pages to small screen devices. Besides, as the limited computing ability and capacity of storage of wireless handheld devices, it is also extremely challenging to deploy existing web page adaptation engine. By referring to huge computing ability and storage resource of cloud computing infrastructure, a new wireless web access mode is proposed. Firstly, the system framework is present. Subsequently, the two key components of system are described in detail: the one is distributed web page adaptation engine, which is designed for the purpose that the engine can be carried by computing cloud distributed and parallel; the other is distributed web page blocks management based on cloud computing, which is proposed so that the web page adaptation engine can be deployed reasonably. Moreover, a prototype system and a set of evaluation experiments have been implemented.
Year
DOI
Venue
2008
10.1109/PACIIA.2008.18
PACIIA (1)
Keywords
Field
DocType
limited computing ability,wireless handheld device,web page blocks management,huge computing ability,cloud computing infrastructure,. meanwhile,cloud computing,it is necessary to put these existing web adaptation engines into practice. most of existing engines are carried by proxy or server when they are implemented.,web page adaptation engine,existing web page adaptation,web page,new wireless web access,wireless communication,handheld device,distributed processing,meteorology,web accessibility,user interface,web pages,html,engines
Web page,Computer science,Computer network,Web modeling,Artificial intelligence,Distributed computing,Web design,Data Web,Rewrite engine,Web service,Cloud testing,Machine learning,Cloud computing
Conference
Citations 
PageRank 
References 
3
0.74
9
Authors
3
Name
Order
Citations
PageRank
Yunpeng Xiao13310.88
Yang Tao251.50
Qian Li351.16