Scheduling with dynamic voltage/speed adjustment using slack reclamation in multi-processor real-time systems

By Dakai Zhu, Rami G. Melhem, B. Childers. IEEE Real-Time Systems Symposium, 2001

459 citations recorded by the source corpus.

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Energy-aware partitioning for multiprocessor real-time systems (2003, background): “proposed a run-time slack reclamation scheme for tasks sharing a single, global deadline [20].”
Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions (2011, methodology): “DVS among these has been proven to be a very promising technique with its demonstrated capability for energy savings (e.g., [4], [6], [7], [13]).”
Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI Programs (2005, background): “One example is in [45], where an approach to slack sharing in multiprocessor real-time systems is presented.”
Adagio: making DVS practical for complex HPC applications (2009, background): “Zhu (slack reclamation) [30] and Moncusi (hard real time end-to-end deadlines) [19] have investigated non-optimal distributed real-time energy scheduling.”
Dynamic Voltage Scaling in Multitier Web Servers with End-to-End Delay Control (2007, methodology): “DVS algorithms assuming similar task sets and a continuous frequency setting model are presented in [10] for multiprocessors .”