Self-tuning Multimedia Streaming System on Cloud Infrastructure
Gheorghe Sebestyen, Anca Hângan, Katalin Sebestyén, Roland Vachter · Procedia Computer Science · 2013
Abstract In this paper we present an automatic performance tuning solution for the optimization of a high-demand multimedia streaming service built on a dedicated private cloud architecture. The optimization focuses mainly on two aspects: energy efficiency and quality assurance of streaming services. As QoS factors we take into consideration the minimum initial waiting time and the cumulative disruption time of continuous playing at the client side. To achieve the best performance, a cloud-based architecture is proposed with on-demand dynamic allocation of resources and a multi-level data flow with caching capabilities.