{"title":"Benchmark for Emergency Management Based on OGC WFS","authors":"Gang Liu, Pu Li, Y. Sha","doi":"10.1109/IIH-MSP.2013.94","DOIUrl":null,"url":null,"abstract":"This paper presents a benchmark consisting of 11 queries based on WFS standards formulated by OGC. The purpose of our study is to provide a reference standard, when the performance test is conducted on a geospatial web service platform which supports OGC WFS. This benchmark has the novel characteristic that it uses geospatial datasets and queries that are representative of WFS. We selected GeoServer as the WFS server, used Jmeter as a test tool and adopted the Texas data as test data set in order to carry out related experiments. Also included in the paper are benchmark results, which show the feasibility of our benchmark.","PeriodicalId":105427,"journal":{"name":"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIH-MSP.2013.94","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a benchmark consisting of 11 queries based on WFS standards formulated by OGC. The purpose of our study is to provide a reference standard, when the performance test is conducted on a geospatial web service platform which supports OGC WFS. This benchmark has the novel characteristic that it uses geospatial datasets and queries that are representative of WFS. We selected GeoServer as the WFS server, used Jmeter as a test tool and adopted the Texas data as test data set in order to carry out related experiments. Also included in the paper are benchmark results, which show the feasibility of our benchmark.
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