Efficient spatial data transmission in Web-based GIS

Wei, Zu-Kuan; Oh, Young Sam; Lee, Jae-Dong; Kim, Jae-Hong; Park, Dong-Sun; Lee, Young-Geol; Bae, Hae-Young

doi:10.1145/319759.319777

Cited by 15 publications

(6 citation statements)

References 5 publications

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“…In application aspect, the tile caching strategy [31] is developed based on the caching strategy [32]. Tiling caching strategies and the asynchronous JavaScript and XML (AJAX) helped the implementation of map tiled services.…”

Section: Relevance Between Qogis and Qosmentioning

confidence: 99%

“…For example, the response time of a WFS or WMS can be obtained by invoking mandatory or optional service operations [58]. However, frequent quality monitoring can increase pressure on the server [31]. To acquire long-time and fine-grained monitoring data covers all time spans while without putting too much concurrent access burden to the GIService server, monitoring must incorporate design strategies [59,60].…”

Section: Service Provider Offering Versus Third-party Monitoringmentioning

confidence: 99%

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The Concept and Technologies of Quality of Geographic Information Service: Improving User Experience of GIServices in a Distributed Computing Environment

Gui

Cheng

et al. 2019

IJGI

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With the wide use of web technologies, service-oriented architecture (SOA), and cloud computing, more and more geographical information systems are served as GIServices. Under such circumstance, quality of geographic information services (QoGIS) has emerged as an important research topic of geoinformatics. However, it is not easy to understand the field since QoGIS has no formal standards, which is not only in regard to server-side performance and capabilities, but is also related with the quality of experience (QoE) during user interaction with GIServices. In this paper, we compare quality of service (QoS) and QoGIS research to understand the uniqueness of QoGIS. A conceptual framework is proposed to organize and interpret QoGIS research from the perspective of quality modeling, acquisition, and application, and we discuss the status, limitations, and future directions of this area. Overall, our analysis shows that new quality metrics will evolve from existing metrics to match the needs in concrete QoGIS applications, and user preferences need to be considered in quality modeling for GIServices. We discuss three approaches for the provision of QoGIS information and find that user feedback mining is an important supplementary source of quality information. Gaps between QoS and QoGIS research suggest that the GIService performance enhancement must not only consider the unique features of spatial data models and algorithms, but also system architecture, deployment, and user spatiotemporal access behaviors. Advanced service selection algorithms must be introduced to tackle the quality optimization problems of geoprocessing workflow planning. Moreover, a QoGIS-aware GIServices framework must be established to facilitate and ensure GISerivce discovery and interaction. We believe this bibliographic review provides a helpful guide for GIS researchers.

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Section: Relevance Between Qogis and Qosmentioning

confidence: 99%

Section: Service Provider Offering Versus Third-party Monitoringmentioning

confidence: 99%

The Concept and Technologies of Quality of Geographic Information Service: Improving User Experience of GIServices in a Distributed Computing Environment

Gui

Cheng

et al. 2019

IJGI

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“…Early experiments with web map tiling built on these well‐known quadtree and pyramid methods. Studies by Wei et al. (1999), Kang et al.…”

Section: Web Map Optimization and The Adoption Of Server‐side Cachingmentioning

confidence: 99%

“…Methods for defining the tile boundaries, or tiling schema, differed however. Wei et al. (1999) presented an algorithm that created tiles of varying rectangular dimensions, leaving empty areas with larger tiles and feature‐intense areas with smaller tiles (similar in some ways to a quadtree).…”

Section: Web Map Optimization and The Adoption Of Server‐side Cachingmentioning

confidence: 99%

A Predictive Model for Frequently Viewed Tiles in a Web Map

Quinn

Gahegan

2010

Transactions in GIS

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Distributing pre-generated image tiles from a server-side cache is a fast and popular way of serving maps on the Web. However, these caches can grow unmanageably large for maps covering many scales over a broad extent. This research presents a model for determining high-priority geographic areas for tile caching. The model considers variables found in previous research to be of interest to Web map users, such as populated places, major roads, coastlines, and tourist attractions. The proportion of area, disk space, and time saved when creating a partial cache (consisting only of high-interest areas) and a cache of the entire map extent are compared to establish that marked savings are possible. Several applications of the model beyond tile caching are briefly discussed.

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“…GIS researchers have focused on the development of efficient algorithms to improve system performance. For example, [3] presented a progressive vector transmission technique, [23] presented a layer decomposition technique for efficient spatial data transmission, and [4] presented a method for progressive transmission and rendering for 3D-GIS. Progressive transmission and rendering improves performance in the '%hin-client/fat-server" model, but implementation on thick-clients is difficult.…”

Section: Client/server Interaction-a Load-balancing Approachmentioning

confidence: 99%

A Web-based browsing and spatial analysis system for regional natural resource analysis and mapping

Vatsavai

Burk

Wilson

et al. 2000

Proceedings of the 8th ACM International Symposium on Advances in Geographic Information Systems

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Proper use and monitoring of our land and environmental resources for quality of life and sustainable growth considerations require that timely and accurate data on land cover and land use be regularly available. Remote sensing is an appropriate tool and NOAA's 1-kin AVHRR time series imagery has proven to be an invaluable input for regional level natural resource mapping and monitoring. Many previous efforts addressing the use of satellite-derived data for land cover and land use classification have resulted in the development of useful products. However, they have seldom been widely applied due to the lack of an efficient and easy-to-use delivery mechanism. The World Wide Web has become popular as a vehicle for information distribution and client/server applications. Web GIS is rapidly evolving and adapting to advances in Internet technologies. Web GISes are predominantly designed under a "thin-client / fatserver" paradigm. This approach has several disadvantages. For example, as the number of users increases, the load on the server increases and system performance decreases. Recently the focus has been shifted towards client-side Web GIS. In this paper we present a balanced client/server Webbased spatial analysis system and evaluate its performance in a regional natural resource mapping and analysis application which utilizes biweekly AVHRR imagery and several other raster and vector geospatial datasets. We also evaluate alternative approaches and assess the pros and cons of our design and implementation.

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Efficient spatial data transmission in Web-based GIS

Cited by 15 publications

References 5 publications

The Concept and Technologies of Quality of Geographic Information Service: Improving User Experience of GIServices in a Distributed Computing Environment

The Concept and Technologies of Quality of Geographic Information Service: Improving User Experience of GIServices in a Distributed Computing Environment

A Predictive Model for Frequently Viewed Tiles in a Web Map

A Web-based browsing and spatial analysis system for regional natural resource analysis and mapping

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