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ISPRS Int. J. Geo-Inf. 2016, 5(6), 88; doi:10.3390/ijgi5060088

Global-Scale Resource Survey and Performance Monitoring of Public OGC Web Map Services

1
School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
3
Collaborative Innovation Center of Geospatial Technology, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 19 March 2016 / Revised: 25 May 2016 / Accepted: 26 May 2016 / Published: 8 June 2016
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Abstract

One of the most widely-implemented service standards provided by the Open Geospatial Consortium (OGC) to the user community is the Web Map Service (WMS). WMS is widely employed globally, but there is limited knowledge of the global distribution, adoption status or the service quality of these online WMS resources. To fill this void, we investigated global WMSs resources and performed distributed performance monitoring of these services. This paper explicates a distributed monitoring framework that was used to monitor 46,296 WMSs continuously for over one year and a crawling method to discover these WMSs. We analyzed server locations, provider types, themes, the spatiotemporal coverage of map layers and the service versions for 41,703 valid WMSs. Furthermore, we appraised the stability and performance of basic operations for 1210 selected WMSs (i.e., GetCapabilities and GetMap). We discuss the major reasons for request errors and performance issues, as well as the relationship between service response times and the spatiotemporal distribution of client monitoring sites. This paper will help service providers, end users and developers of standards to grasp the status of global WMS resources, as well as to understand the adoption status of OGC standards. The conclusions drawn in this paper can benefit geospatial resource discovery, service performance evaluation and guide service performance improvements. View Full-Text
Keywords: web map service; map resource survey; map subject; service provider; spatiotemporal distribution; service performance; response time; quality of service; WMS crawling; OGC service discovery web map service; map resource survey; map subject; service provider; spatiotemporal distribution; service performance; response time; quality of service; WMS crawling; OGC service discovery
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Gui, Z.; Cao, J.; Liu, X.; Cheng, X.; Wu, H. Global-Scale Resource Survey and Performance Monitoring of Public OGC Web Map Services. ISPRS Int. J. Geo-Inf. 2016, 5, 88.

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