IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A predictive system shutdown method for energy saving of event-driven computation
ICCAD '97 Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design
Power management techniques for mobile communication
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Energy-aware adaptation for mobile applications
Proceedings of the seventeenth ACM symposium on Operating systems principles
EMERALDS: a small-memory real-time microkernel
Proceedings of the seventeenth ACM symposium on Operating systems principles
The Case for Higher-Level Power Management
HOTOS '99 Proceedings of the The Seventh Workshop on Hot Topics in Operating Systems
PowerScope: A Tool for Profiling the Energy Usage of Mobile Applications
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Real-time operating system services for networked embedded systems
Real-time operating system services for networked embedded systems
Thwarting the power-hungry disk
WTEC'94 Proceedings of the USENIX Winter 1994 Technical Conference on USENIX Winter 1994 Technical Conference
Power-aware QoS Management in Web Servers
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Voltage-Clock-Scaling Adaptive Scheduling Techniques for Low Power in Hard Real-Time Systems
IEEE Transactions on Computers
The Interplay of Power Management and Fault Recovery in Real-Time Systems
IEEE Transactions on Computers
Energy aware kernel for hard real-time systems
Proceedings of the 2005 international conference on Compilers, architectures and synthesis for embedded systems
Energy minimization for real-time systems with (m; k)-guarantee
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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In mobile applications, the energy consumed by OS and application tasks primarily comes from limited DC battery source, which imposes an upper bound to the amount of time available for execution of tasks. To achieve the best Energy-aware Quality-of-Service (EQoS), it is important to prioritize the scheduling of critical tasks over noncritical tasks to improve overall performance while extending the battery life. Using the Combined Static/Dynamic scheduler (CSD) in the EMERALDS operating system [9, 10] as a basis, we developed the Energy-Adaptive CSD (EA-CSD) with an energy-aware scheduling algorithm that executes tasks to achieve effective use of limited energy by favoring low-energy and critical tasks. Our simulation of the EA-CSD shows that battery life can be extended up to about 100% with varying degrees of performance degradation of up to about 40%, and the actual values of both are fully customizable by the user through parametric adjustment.