A Practical Framework to Study Low-Power Scheduling Algorithms on Real-Time and Embedded Systems
With the advanced technology used to design VLSI (Very Large Scale Integration) circuits, low-power and energy-efficiency have played important roles for hardware and software implementation. Real-time scheduling is one of the fields that has attracted extensive attention to design low-power, embedd...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2014-05-01
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| Series: | Journal of Low Power Electronics and Applications |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2079-9268/4/2/90 |
| _version_ | 1811184635769520128 |
|---|---|
| author | Jian (Denny) Lin Albert M. K. Cheng Wei Song |
| author_facet | Jian (Denny) Lin Albert M. K. Cheng Wei Song |
| author_sort | Jian (Denny) Lin |
| collection | DOAJ |
| description | With the advanced technology used to design VLSI (Very Large Scale Integration) circuits, low-power and energy-efficiency have played important roles for hardware and software implementation. Real-time scheduling is one of the fields that has attracted extensive attention to design low-power, embedded/real-time systems. The dynamic voltage scaling (DVS) and CPU shut-down are the two most popular techniques used to design the algorithms. In this paper, we firstly review the fundamental advances in the research of energy-efficient, real-time scheduling. Then, a unified framework with a real Intel PXA255 Xscale processor, namely real-energy, is designed, which can be used to measure the real performance of the algorithms. We conduct a case study to evaluate several classical algorithms by using the framework. The energy efficiency and the quantitative difference in their performance, as well as the practical issues found in the implementation of these algorithms are discussed. Our experiments show a gap between the theoretical and real results. Our framework not only gives researchers a tool to evaluate their system designs, but also helps them to bridge this gap in their future works. |
| first_indexed | 2024-04-11T13:16:55Z |
| format | Article |
| id | doaj.art-3c975cfe0b774639a3b7d52ca07e1df4 |
| institution | Directory Open Access Journal |
| issn | 2079-9268 |
| language | English |
| last_indexed | 2024-04-11T13:16:55Z |
| publishDate | 2014-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Low Power Electronics and Applications |
| spelling | doaj.art-3c975cfe0b774639a3b7d52ca07e1df42022-12-22T04:22:23ZengMDPI AGJournal of Low Power Electronics and Applications2079-92682014-05-01429010910.3390/jlpea4020090jlpea4020090A Practical Framework to Study Low-Power Scheduling Algorithms on Real-Time and Embedded SystemsJian (Denny) Lin0Albert M. K. Cheng1Wei Song2Department of Management Information Systems, University of Houston—Clear Lake, Houston,TX 77058, USADepartment of Computer Science, University of Houston, Houston, TX 77204, USADepartment of Computer Science, University of Houston, Houston, TX 77204, USAWith the advanced technology used to design VLSI (Very Large Scale Integration) circuits, low-power and energy-efficiency have played important roles for hardware and software implementation. Real-time scheduling is one of the fields that has attracted extensive attention to design low-power, embedded/real-time systems. The dynamic voltage scaling (DVS) and CPU shut-down are the two most popular techniques used to design the algorithms. In this paper, we firstly review the fundamental advances in the research of energy-efficient, real-time scheduling. Then, a unified framework with a real Intel PXA255 Xscale processor, namely real-energy, is designed, which can be used to measure the real performance of the algorithms. We conduct a case study to evaluate several classical algorithms by using the framework. The energy efficiency and the quantitative difference in their performance, as well as the practical issues found in the implementation of these algorithms are discussed. Our experiments show a gap between the theoretical and real results. Our framework not only gives researchers a tool to evaluate their system designs, but also helps them to bridge this gap in their future works.http://www.mdpi.com/2079-9268/4/2/90real-time/embedded systemslow-powerscheduling |
| spellingShingle | Jian (Denny) Lin Albert M. K. Cheng Wei Song A Practical Framework to Study Low-Power Scheduling Algorithms on Real-Time and Embedded Systems Journal of Low Power Electronics and Applications real-time/embedded systems low-power scheduling |
| title | A Practical Framework to Study Low-Power Scheduling Algorithms on Real-Time and Embedded Systems |
| title_full | A Practical Framework to Study Low-Power Scheduling Algorithms on Real-Time and Embedded Systems |
| title_fullStr | A Practical Framework to Study Low-Power Scheduling Algorithms on Real-Time and Embedded Systems |
| title_full_unstemmed | A Practical Framework to Study Low-Power Scheduling Algorithms on Real-Time and Embedded Systems |
| title_short | A Practical Framework to Study Low-Power Scheduling Algorithms on Real-Time and Embedded Systems |
| title_sort | practical framework to study low power scheduling algorithms on real time and embedded systems |
| topic | real-time/embedded systems low-power scheduling |
| url | http://www.mdpi.com/2079-9268/4/2/90 |
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