Improved DASH Architecture for Quality Cloud Video Streaming in Automated Systems

In modern times, multimedia streaming systems that transmit video across a channel primarily use HTTP services as a delivery component. Encoding the video for all quality levels is avoided thanks to fuzzy based encoders' ability to react to network changes. Additionally, the system frequently uses packet priority assignment utilising a linear error model to enhance the dynamic nature of DASH without buffering. Based on a fuzzy encoder, the decision of video quality is made in consideration of the bandwidth available. This is a component of the MPEG DASH encoder. The Fuzzy DASH system seeks to increase the scalability of online video streaming, making it suitable for live video broadcasts through mobile and other devices

Designing self-adaptive multimedia applications through hierarchical reconfiguration

Abstract. Distributed multimedia applications are very sensitive to resource variations. An attractive way for dealing with dynamic resource variations consists in making applications adaptive, and even self-adaptive. The objective is to grant applications the ability to observe themselves and their environment, to detect significant changes and to adjust their behavior accordingly. This issue has been the subject of several works; however the proposed solutions lack flexibility and a high-level support that eases the development of adaptive applications. This paper presents PLASMA, a component-based framework for building multimedia applications. PLASMA relies on a hierarchical composition and reconfiguration model which provides the expected support. The experimental evaluation shows that adaptation can be achieved with a very low overhead, while significantly improving QoS of multimedia applications as well as resource usage on mobile equipments. 1