| Title |
Sisteminės aplinkos optimizavimas VMA „Moodle“ našumui bei greitaveikai / |
| Translation of Title |
The optimization of system environment for the performance of Moodle LMS. |
| Authors |
Kutas, Remigijus |
| Full Text |
|
| Pages |
88 |
| Keywords [eng] |
VLE ; Moodle ; speed ; performance |
| Abstract [eng] |
This paper presents Virtual Learning Environment Moodle user‘s request time dependence on server hardware and system software configuration. The aim of this work is to test and evaluate VLE Moodle speed and performance changes using different system environment components and their configuration parameters. The aim is to suggest VLE Moodle user‘s request time reduction methodology. As described in chapter “Factors that increase the VLE Moodle load“, here the need to ensure sufficient VLE speed and performance is analysed. Factors which boost Moodle environment work which are analysed include user growth and system load during the peak period. The chapter “Overview of the World Wide Web software speeding up methods and measures” presents theoretical approach based on scientific literature analysis. The aim of the analysis is to establish new parameters of system software and configuration measures which may impact VLE Moodle speed and performance. This chapter also comprises analysed speed and performance testing methodologies and chosen methodology for VLE Moodle testing. Experimental research is described in chapter „Investigation of the main factors in underlying speed and performance“. The aim of performed tests is to determine the influence of various system environment components for VLE Moodle speed and performance. The results obtained from experimental research showed that technical equipment capability is the main factor in ensuring VLE Moodle speed and performance. Moodle system CPU enhancement in performance or system‘s interconnection into a cluster ensures the highest Moodle speed and performance. In comparison with processor‘s performance, the speed of sub-systems has little impact on Moodle speed and performance. When the sufficient amount of data memory is reached, the further growth of the memory does not affect Moodle speed and performance. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2015 |
