A Study of Design and Development of Energy-Aware Scheduling On Single-Core Systems

computer science

Over the years, the rapid processing of computational problems in the fields of science, engineering, commercial applications and industrial applications have been shown in parallel computing systems. The careful planning of these applications' concurrent activities is one of the crucial research topics examined during the last several decades. The issue of work scheduling is the processing of parallel application tasks on existing processors to minimise the total length of time. Heterogeneous computing has taken up significant momentum during the past ten years in order to meet the constantly increasing requirements of such systems for performance. The traditional goal of scheduling parallel machine algorithms is to solve the min-max issue, in order to minimise expenses for communication between processes and maximise the use of parallelism in the application. Recently, however, attention has also been given to energy consumption issues in planning algorithms. As the effective use of processors underlies the energy used by the programme may be significantly reduced, energy saving is the newest element in the classic scheduling issue.

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