Energy efficient DVS schedule for fixed-priority real-time systems
ACM Transactions on Embedded Computing Systems (TECS) - Special Section LCTES'05
Microprocessors & Microsystems
Processor speed control with thermal constraints
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Run-time adaptive workload estimation for dynamic voltage scaling
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
A hybrid DVS scheduling approach for hard real-time systems
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
PreDVS: preemptive dynamic voltage scaling for real-time systems using approximation scheme
Proceedings of the 47th Design Automation Conference
Dynamic Cache Reconfiguration for Soft Real-Time Systems
ACM Transactions on Embedded Computing Systems (TECS)
Energy-aware real-time task synchronization in multi-core embedded systems
Proceedings of the 28th Annual ACM Symposium on Applied Computing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A survey on techniques for improving the energy efficiency of large-scale distributed systems
ACM Computing Surveys (CSUR)
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Slowdown factors determine the extent of slowdown that a computing system can experience based on functional and performance requirements. Dynamic voltage scaling (DVS) of a processor based on slowdown factors can lead to considerable energy savings. This paper addresses the problem of DVS in the presence of task synchronization. Tasks synchronize to enforce mutually exclusive access to the shared resources and can be blocked by lower priority tasks. Task slowdown factors that guarantee meeting all task deadlines are computed. Both static and dynamic priority scheduling viz. rate monotonic (RM) scheduling and earliest deadline first (EDF) scheduling, respectively, are studied