On Quality of Service Optimization with Discrete QoS Options
RTAS '99 Proceedings of the Fifth IEEE Real-Time Technology and Applications Symposium
Energy-efficient soft real-time CPU scheduling for mobile multimedia systems
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Managing battery lifetime with energy-aware adaptation
ACM Transactions on Computer Systems (TOCS)
Managing battery lifetime with energy-aware adaptation
ACM Transactions on Computer Systems (TOCS)
Energy-aware video streaming with QoS control for portable computing devices
NOSSDAV '04 Proceedings of the 14th international workshop on Network and operating systems support for digital audio and video
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In order to make the best use of available energy budget, we propose a QoS adjustment method which maximizes the total QoS-provisioning of multimedia tasks with uncertain execution time. This method utilizes the probability distribution of task's execution time to determine an instant QoS level. Our experiments show that the proposed method gives 52% more QoS-provisioning than the conventional method using a constant QoS level derived from the worst-case time.