Analysis of Optimization Techniques to Improve User Response Time of Web Applications and Their Implementation for MOODLE
This work addresses performance improvements for MOODLE users, but it is incremental as it applies existing optimization methods to a specific system.
The study analyzed seven optimization techniques across hardware, back-end, and front-end categories to reduce average user response time for the MOODLE learning management system, finding that hardware optimization with solid-state disks achieved the maximum reduction.
Analysis of seven optimization techniques grouped under three categories (hardware, back-end, and front-end) is done to study the reduction in average user response time for Modular Object Oriented Dynamic Learning Environment (Moodle), a Learning Management System which is scripted in PHP5, runs on Apache web server and utilizes MySQL database software. Before the implementation of these techniques, performance analysis of Moodle is performed for varying number of concurrent users. The results obtained for each optimization technique are then reported in a tabular format. The maximum reduction in end user response time was achieved for hardware optimization which requires Moodle server and database to be installed on solid state disk.