Applications of spatial data structures: Computer graphics, image processing, and GIS
Applications of spatial data structures: Computer graphics, image processing, and GIS
The design and analysis of spatial data structures
The design and analysis of spatial data structures
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
Maps alive: viewing geospatial information on the WWW
Selected papers from the sixth international conference on World Wide Web
Not all hits are created equal: cooperative proxy caching over a wide-area network
Computer Networks and ISDN Systems - Selected papers of the 3rd international caching workshop
Web caching with consistent hashing
WWW '99 Proceedings of the eighth international conference on World Wide Web
OceanStore: an architecture for global-scale persistent storage
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Storage management and caching in PAST, a large-scale, persistent peer-to-peer storage utility
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Wide-area cooperative storage with CFS
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Squirrel: a decentralized peer-to-peer web cache
Proceedings of the twenty-first annual symposium on Principles of distributed computing
SIGGRAPH '83 Proceedings of the 10th annual conference on Computer graphics and interactive techniques
A web-based spatial data access system using semantic R-trees
Information Sciences—Informatics and Computer Science: An International Journal
Dynamic visualization of high resolution GIS dataset on multi-panel display using ArcGIS engine
Computers and Electronics in Agriculture
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Enterprises in the public and private sectors have been making their large spatial data archives available over the Internet. However, interactive work with such large volumes of online spatial data is a challenging task. We propose two efficient approaches to remote access to large spatial data. First, we introduce a client-server architecture where the work is distributed between the server and the individual clients for spatial query evaluation, data visualization, and data management. We enable the minimization of the requirements for system resources on the client side while maximizing system responsiveness as well as the number of connections one server can handle concurrently. Second, for prolonged periods of access to large online data, we introduce APPOINT (an Approach for Peer-to-Peer Offloading the INTernet). This is a centralized peer-to-peer approach that helps Internet users transfer large volumes of online data efficiently. In APPOINT, active clients of the client-server architecture act on the server's behalf and communicate with each other to decrease network latency, improve service bandwidth, and resolve server congestions.