Over the last decade, online Learning Management System (LMS) services have been utilized
by many universities. Desire2Learn (D2L) is the official LMS used by the University of Calgary
(U of C). Every student, teaching assistant, and faculty member has access to D2L services.
This thesis presents a workload characterization study of the D2L Web site for on-campus and
off-campus users based on a period of two calender years, 2015 and 2016. D2L mainly provides
online learning services, delivers course content, and monitors student progress. It uses content delivery
networks consisting of geographically dispersed nodes. Persistent and parallel connections
are used extensively throughout D2L sessions with users.
This thesis sheds light upon the usage of modern LMS services like D2L. It utilizes network-level
data for an extended period of time. Our measurement results highlight the impacts of network
latency on the user-perceived D2L performance at the U of C.