Luo, Mante, authorPallickara, Shrideep, advisorPapadopoulos, Christos, committee memberTurk, Daniel, committee member2017-01-042017-01-042016http://hdl.handle.net/10217/178879Video conferencing is one of the most widely used services in the world. However, it usually requires dedicated hardware and expensive licenses. Cloud computing has helped many companies achieve lower operation costs, and many applications including video conferencing are being transitioned into the cloud. However, most video-conferencing applications do not support horizontal scaling as a built-in feature, which is essential to embrace the advantages of virtualized environments. The objective of this thesis is to explore horizontal scaling of video conferencing applications. We explore these ideas in the context of a Jitsi an open-source video-conferencing. The thesis develops a methodology for horizontal scaling in the Amazon EC2 cloud with the objective of ensuring quality of service such as per-packet latency (primarily), loss rates, jitter, and the number of participants per session. We build predictive models to inform our horizontal scaling decisions. Proactive scaling allows us to preserve several qualities of service metrics for video-conferencing. Scaling in the EC2 environment is fast and cost-effective with the added benefit of high availability, which helps us support large number of users consistently without much downtime.born digitalmasters thesesengCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.distributed systemscloud computingvideo-conferencingText