![]() ![]() ![]() We also assess each WPS server in terms of qualitative metrics such as software architecture, perceived ease of use, flexibility of deployment, and quality of documentation. To do so, we used two test scenarios to measure response time, response size, throughput, and failure rate of five WPS servers including 52°North, Deegree, GeoServer, PyWPS, and Zoo. In this paper, we illustrate, and discuss initial results from a quantitative analysis of the performance of WPS servers. ![]() Consequently, the quality of such geoprocessing services is of importance to ensure that WPS instances fulfill users’ expectations. As geoprocessing on the web has matured in recent years, an increasing number of geoprocessing services and functionality are becoming available in the form of online Web Processing Services (WPS). ![]()
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