Client-side versus server-side geographic data processing performance comparison: Data and code

Area of Science:

• Geoinformatics
• Geographic Information Systems (GIS)
• Web-GIS

Background:

• Web-GIS performance is critical for user experience and efficient data handling.
• Evaluating server-side versus client-side processing is essential for optimizing Web-GIS applications.
• Existing benchmarks may not fully represent real-world geographic data complexities.

Purpose of the Study:

• To provide a comprehensive benchmark for analyzing server-side and client-side Web-GIS data processing.
• To compare the performance of Java Topology Suite (JTS) and Javascript Topology Suite (JSTS) algorithms.
• To utilize open geospatial data for realistic performance evaluations.

Main Methods:

• Development of 12 diverse datasets (multi-point, multi-polygon) covering Polish geographic areas.
• Conversion of datasets to Spherical Mercator projection (EPSG:3857) in GeoJSON format.
• Implementation of JavaScript code to benchmark JTS and JSTS algorithms for geoprocessing tasks.

Main Results:

• Quantification of performance differences between client-side and server-side geoprocessing using JTS and JSTS.
• Demonstration of the suitability of the provided datasets and code for universal benchmarking.
• Identification of optimal processing strategies based on data volume and complexity.

Conclusions:

• The benchmark enables objective analysis of geographic data processing algorithms across different architectures.
• Findings contribute to the optimization of Web-GIS performance and resource utilization.
• The open data and code facilitate further research in Web-GIS performance analysis.