Advances in Web-Based GIS, Mapping Services and Applications 2011
DOI: 10.1201/b11080-12
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WebGIS performance issues and solutions

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Cited by 12 publications
(12 citation statements)
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References 17 publications
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“…Zhang, Zhao, and Li (2013) describes a technique to improve the query performance of WFS using a Voronoi diagram indexing and parallel task scheduling. Yang et al (2011) conducted some preliminary study on encoding data by a binary XML with some compression techniques, which form the basis of this work.…”
Section: Geospatial Web Services and Their Performance Issuesmentioning
confidence: 99%
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“…Zhang, Zhao, and Li (2013) describes a technique to improve the query performance of WFS using a Voronoi diagram indexing and parallel task scheduling. Yang et al (2011) conducted some preliminary study on encoding data by a binary XML with some compression techniques, which form the basis of this work.…”
Section: Geospatial Web Services and Their Performance Issuesmentioning
confidence: 99%
“…The emerging geospatial cyberinfrastructure (GCI; Yang et al, 2011) is a promising instrument for building a disaster management system by harnessing tremendous advances in computer hardware, GIS middleware, network and sharable geospatial web services. GCI is a descendent of Spatial Data Infrastructure (SDI).…”
Section: Introductionmentioning
confidence: 99%
“…In addition, to preserve the data integrity, they have to be processed sequentially, which makes it difficult to achieve performance gain in parallel framework. Further, although this paper focuses on improving the efficiency of query performance from the WFS systems, it should be pointed out that the proposed parallel approach can also be used for discrete geospatial features such as online datasets provided by EPA and US Census Bureau [19]. As long as there is geographic location information in the data, we can use Voronoi diagrams to organize the spatial data and partition the spatial data into several subsets for parallel computation.…”
Section: Discussionmentioning
confidence: 99%
“…While OGC's WFS facilitate disseminate heterogeneous spatial data over the Web and allow feature-level geospatial information sharing and synchronization, performance issues challenge efficient and effective utilization of WFS for the disaster response. Literature shows that obtaining spatial information becomes very slow when query the WFS systems from large geospatial databases over the Internet [16][17][18][19]. This is because the WFS transport text-based GML data over the network.…”
Section: Introductionmentioning
confidence: 99%
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