Geospatial data is a widely used format for visualization and analysis of various location-embedded datasets applied in fields such as climatology, geology, and oceanography. Analyzing and rendering this data is computationally expensive; optimized processes and caching solutions are crucial in keeping this service responsive in modern cloud-based environments. This project benchmarked a widely used Web Map Service (ncWMS) against Xpublish-wms, a prototype Web Map Service. The team systematically identified and optimized inefficient code sections, and implemented caching methods to increase performance and decrease the experienced latency for end users. These changes result in reduced processing power to visualize the data and lower operational costs in the cloud. 

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Gosukonda, Deepti
• Salisbury, Patrick
• Markou, Nicholas
• Konstantine, Nadav

Subject

• Water
• Project-Based Learning
• Industry
• Computing
• Innovation
• Environment

Publisher

• Worcester Polytechnic Institute

Identifier

• 119100
• E-project-032124-171512

Keyword

• Geographic Information Systems
• geospatial data
• optimization
• caching
• Web Map Service
• benchmarking

Advisor

• Harrison, Lane T.

Year

• 2024

Sponsor

• Tetra Tech

UN Sustainable Development Goals

• 9 - Industry, Innovation and Infrastructure

Date created

• 2024-03-21

Resource type

• Major Qualifying Project

Major

• Computer Science

Source

• E-project-032124-171512

Rights statement

• In Copyright