The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of SYSTEMS ENGINEERING, APPLICATIONS AND DEVELOPMENT
Transactions ID Number: 20-492
Full Name: Juan Pablo De Castro
Position: Associate Professor
Age: ON
Sex: Male
Address: E.T.S.I.Telecomunicaciones, Paseo de Belén 13, 47011, Valladolid, Spain
Country: SPAIN
Tel: 983423699
Tel prefix: +34
Fax: 983424667
E-mail address: jpdecastro@tel.uva.es
Other E-mails: juan.pablo.de.castro@gmail.com
Title of the Paper: A Descriptive Model Based on the Mining of Web Map Server Logs for Tile Prefetching in a Web Map Cache
Authors as they appear in the Paper: Ricardo García, Juan Pablo de Castro, María Jesús Verdú, Elena Verdú, Luisa María Regueras, Pablo López
Email addresses of all the authors: ricgar@tel.uva.es,juacas@tel.uva.es,marver@tel.uva.es,elever@tel.uva.es,luireg@tel.uva.es,plopesc@ribera.tel.uva.es
Number of paper pages: 8
Abstract: Web mapping has become a popular way of distributing interactive digital maps over the Internet. Traditional web map services generated map images on the fly each time a request was received, which limited service scalability and offered a poor user experience. Most popular web map services, such as Google Maps or Microsoft Virtual Earth, have demonstrated that an optimal delivery of online mapping can be achieved by serving pre-generated map image tiles from a server-side cache. However, these caches can grow unmanageably in size, forcing administrators to use partial caches containing just a subset of the total tiles. By assuming that users access patterns are slow to change, service history can be used to determine in advance which areas are likely to be requested in the future, based exclusively on past accesses. Those tiles with high probability of being requested shortly can be pre-generated and cached on advance for faster retrieval. This work proposes the u!
se of a descriptive model based on the mining of web map server logs for predicting popular areas in a web map, considered good candidates for tile prefetching. However, as the number of tiles grows exponentially with the rendering resolution level, it is rarely feasible to work with statistics of individual tiles. To overcome this issue, a simplified model is proposed which combines statistics from multiple tiles to reduce the dimension of the tiling space. This model has been tested using real-world logs from several nationwide public web map services in Spain. Simulations demonstrate that significant savings of storage requirements can be achieved by using a partial cache with the proposed model, while maintaining a high cache hit ratio.
Keywords: Web mapping, Map tile, WMTS, SDI, WMS, Descriptive model, Logs, Proxy cache.
EXTENSION of the file: .pdf
Special (Invited) Session: A Descriptive Model for Predicting Popular Areas in a Web Map
Organizer of the Session: 650-945
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