By Tai-Hoon Kim, Laurence Tianruo Yang, Jong Hyuk Park, Alan Chin-Chen Chang, Thanos Vasilakos, Sang-Soo Yeo
This quantity constitutes the chosen and prolonged papers of the foreign convention on Advances in communique and Networking, FGCN2008, and Its distinct periods, held in Sanya, Hainan Island, China in December 2008. The articles speak about contemporary growth within the sector of conversation and Networking together with modeling, simulation and novel functions linked to the usage and reputation of computing units and platforms.
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Extra info for Advances in Communication and Networking: Second International Conference on Future Generation Communication and Networking, FGCN 2008, Sanya, Hainan Island, ... in Computer and Information Science)
Example text
If there are no statistics available for the access patterns, all hyperlinks for the web document are assigned with equal probabilities for being accessed. A Context-Aware Adaptation Model for Efficient Web Browsing on Mobile Devices 49 Fig. 5. A Document Cluster Graph with depth level = 2 Fig. 6. A Document Cluster Graph with depth level = 3 In the proxy-agent mobile document clustering architecture, we have enhanced Leong’s model [8] by providing a three-dimensional implementation for viewing the document cluster.
The base station maintains a web proxy server as a concentrator of web traffic for the clients, enabling the sharing of common hot web pages needed by individual clients. The notion of document clusters and personalized document clusters are modeled in the form of a directed graph, called document cluster graph. Base-station proxy-agent server 00 Document Cluster Graph Mobile Client and WebPADS client Cache Mobile Client and WebPADS client Fig. 3. Proxy-mobile Document Clustering Architecture When a mobile client requests for an uncached document P from a remote server, the proxy server generates a document cluster using the document P as seed.
Cheung γ ρ(V, E) = Σ Wi, j /h |V| for all links li,j є E where : V - a set of web pages to be evaluated E - a set of hyperlinks to be evaluated, most of the links are related to the set of web pages in V. Wi, j - weight of a link from web page (i) to web page (j), which is calculated from the probability of accessing a particular link using the log file from the web server H - the maximum of the shortest distance between any two pages in the cluster (the depth of the graph G). Hence, the higher the weight of the link from web page (i) to web page (j) will give a higher cost to the cluster.