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Energy-aware scheduling, compilation, and execution of hard-real-time multi-task Java programs.

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Bibliographic Details
Title: Energy-aware scheduling, compilation, and execution of hard-real-time multi-task Java programs.
Authors: Tewary, Manish1 (AUTHOR) mtew005@aucklanduni.ac.nz, Salcic, Zoran1 (AUTHOR), Biglari-Abhari, Morteza1 (AUTHOR), Malik, Avinash1 (AUTHOR)
Source: Microprocessors & Microsystems. Nov2022, Vol. 95, pN.PAG-N.PAG. 1p.
Subject Terms: *TIME management, *SCHEDULING, *ENERGY management, *MATHEMATICAL optimization, *ENERGY consumption
Abstract: Most of the real-world embedded hard real-time applications are multi-task programs. Reduction in energy consumption for these systems is essential, especially if they are battery-powered. For multi-task applications, energy management could be considered in the offline or online scheduler. We developed an offline non-preemptive rate monotonic scheduler which generates an energy-optimized schedule judiciously using the idle intervals inside the rate monotonic schedule to either put the processor to sleep or slow down the previous task while satisfying the hard real-time constraints. In addition to the energy-aware scheduling, we implemented a new inter-task hardware-based run-time technique for energy management. We use three different methods of intra/inter-task and compile/run time energy management schemes to find out the optimum method for a multi-task hard-real-time Java program. Our results show that the offline energy-optimized schedule when used with intra/inter-task and compile/run time energy optimization techniques, gives around 35 to 40% energy reduction for the experimental multi-task program. [ABSTRACT FROM AUTHOR]
Database: Academic Search Index
Description
Abstract:Most of the real-world embedded hard real-time applications are multi-task programs. Reduction in energy consumption for these systems is essential, especially if they are battery-powered. For multi-task applications, energy management could be considered in the offline or online scheduler. We developed an offline non-preemptive rate monotonic scheduler which generates an energy-optimized schedule judiciously using the idle intervals inside the rate monotonic schedule to either put the processor to sleep or slow down the previous task while satisfying the hard real-time constraints. In addition to the energy-aware scheduling, we implemented a new inter-task hardware-based run-time technique for energy management. We use three different methods of intra/inter-task and compile/run time energy management schemes to find out the optimum method for a multi-task hard-real-time Java program. Our results show that the offline energy-optimized schedule when used with intra/inter-task and compile/run time energy optimization techniques, gives around 35 to 40% energy reduction for the experimental multi-task program. [ABSTRACT FROM AUTHOR]
ISSN:01419331
DOI:10.1016/j.micpro.2022.104721