Integrated Processors Scheduling for Multimedia
NOSSDAV '95 Proceedings of the 5th International Workshop on Network and Operating System Support for Digital Audio and Video
Integrating Multimedia Applications in Hard Real-Time Systems
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
Energy-efficient CPU scheduling for multimedia applications
ACM Transactions on Computer Systems (TOCS)
Reducing data-memory footprint of multimedia applications by delay redistribution
Proceedings of the 44th annual Design Automation Conference
Network calculus: a theory of deterministic queuing systems for the internet
Network calculus: a theory of deterministic queuing systems for the internet
Task Mapping and Bandwidth Reservation for Mixed Hard/Soft Fault-Tolerant Embedded Systems
RTAS '10 Proceedings of the 2010 16th IEEE Real-Time and Embedded Technology and Applications Symposium
Proceedings of the 16th Asia and South Pacific Design Automation Conference
Video Quality Driven Buffer Sizing via Frame Drops
RTCSA '11 Proceedings of the 2011 IEEE17th International Conference on Embedded and Real-Time Computing Systems and Applications - Volume 01
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Applications that stream multiple video/audio or video+audio clips are being implemented in embedded devices. A Picture-in-Picture (PiP) application is one such application scenario, where two videos are played simultaneously. Although the PiP application is very efficiently handled in televisions and personal computers by providing maximum quality of service to the multiple streams, it is a difficult task in devices with resource constraints. In order to efficiently utilize the resources, it is essential to derive the necessary processor cycles for multiple video streams such that they are displayed with some prespecified quality constraint. Therefore, we propose a network calculus based formal framework to help schedule multiple media streams in the presence of buffer contraints. Further, our framework also presents a schedulability analysis condition to check if the multimedia streams can be scheduled such that a prespecified quality constraint is satisfied with the available service. We present this framework in the context of a PiP application, but it is applicable in general for multiple media streams. The results obtained using the formal framework were further verified using experiments involving system simulation.