CPU reservations and time constraints: efficient, predictable scheduling of independent activities
Proceedings of the sixteenth ACM symposium on Operating systems principles
A feedback-driven proportion allocator for real-rate scheduling
OSDI '99 Proceedings of the third symposium on Operating systems design and implementation
Proceedings of the seventeenth ACM symposium on Operating systems principles
A SMART scheduler for multimedia applications
ACM Transactions on Computer Systems (TOCS)
RSIO: automatic user interaction detection and scheduling
Proceedings of the ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Scheduler support for video-oriented multimedia on client-side virtualization
Proceedings of the 3rd Multimedia Systems Conference
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A smart TV has been changed from an appliance which handles just multimedia contents to a high tech device that provides more various and valuable services based on the fast network and the multicore environment. Furthermore, a smart TV is expected to play a role as a home server which cooperates with other IT appliances. For this reason, the importance of analyzing the various workloads and understanding the properties in the systems has increased. It is hard to meet user's requirements in the formal hardware resource and providing many services simultaneously cause the resource limitation for operating smart TV systems, i.e. it is hard to provide various services smoothly. In this paper, we analyze the smart TV workload resource consumption properties and user's request response latency problem when some workloads performed at the same time. Then, we propose cgroups-based CPU scheduling scheme using cgroups. This scheduling scheme guarantees response to user's request and the video quality.