Voltage scheduling problem for dynamically variable voltage processors
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
Overload Management in Real-Time Control Applications Using m,k $(m,k)$-Firm Guarantee
IEEE Transactions on Parallel and Distributed Systems
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Provably good algorithm for low power consumption with dual supply voltages
ICCAD '99 Proceedings of the 1999 IEEE/ACM international conference on Computer-aided design
EDF scheduling using two-mode voltage-clock-scaling for hard real-time systems
CASES '01 Proceedings of the 2001 international conference on Compilers, architecture, and synthesis for embedded systems
A Dynamic Priority Assignment Technique for Streams with (m, k)-Firm Deadlines
IEEE Transactions on Computers
RTSS '95 Proceedings of the 16th IEEE Real-Time Systems Symposium
Combining (/sub m//sup n/)-hard deadlines and dual priority scheduling
RTSS '97 Proceedings of the 18th IEEE Real-Time Systems Symposium
ECRTS '01 Proceedings of the 13th Euromicro Conference on Real-Time Systems
Energy-efficient dual-voltage soft real-time system with (m,k)-firm deadline guarantee
Proceedings of the 2004 international conference on Compilers, architecture, and synthesis for embedded systems
Energy-Constrained Scheduling for Weakly-Hard Real-Time Systems
RTSS '05 Proceedings of the 26th IEEE International Real-Time Systems Symposium
Delay Analysis in Temperature-Constrained Hard Real-Time Systems with General Task Arrivals
RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
Energy minimization for real-time systems with (m; k)-guarantee
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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In this paper we study the problem of minimizing energy while ensuring the designated QoS requirements for weakly hard realtime systems on a dual-mode variable voltage processor. The QoS is quantified with the (m, k)-constraints. We proposed a dynamic scheduling strategy, based on pattern variation and the enhanced dual priority scheduling, to guarantee the (m, k)-constraints while optimizing the energy consumption. The simulation results demonstrate that our proposed techniques can achieve significant energy saving performance while ensuring the (m, k)-guarantee.