Energy-Efficient Intra-Task DVFS Scheduling Using Linear Programming Formulation

In real-time embedded systems, minimizing energy consumption is one of the most important tasks. Intra-task dynamic voltage and frequency scaling (DVFS) has been the subject of much research in the task boundary of time-constrained applications for energy reduction. The problem of optimizing energy...
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Autor*in:	Yang Qin [verfasserIn] Gang Zeng [verfasserIn] Ryo Kurachi [verfasserIn] Yixiao Li [verfasserIn] Yutaka Matsubara [verfasserIn] Hiroaki Takada [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Intra-task DVFS technique time constrained applications minimize energy consumption ILP formulations

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 7(2019), Seite 30536-30547
Übergeordnetes Werk:	volume:7 ; year:2019 ; pages:30536-30547

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DOI / URN:	10.1109/ACCESS.2019.2902353

Katalog-ID:	DOAJ06848450X

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520			\|a In real-time embedded systems, minimizing energy consumption is one of the most important tasks. Intra-task dynamic voltage and frequency scaling (DVFS) has been the subject of much research in the task boundary of time-constrained applications for energy reduction. The problem of optimizing energy consumption with respect to intra-task DVFS scheduling can be addressed by assigning proper operational frequencies to individual basic blocks in a program while guaranteeing the deadline. Based on the profile information of a task, we first formulate the problem in terms of integer linear programming (ILP) regarding different assumptions of transition overhead. To verify the effectiveness of ILP formulations, the most representative intra-task DVFS techniques are taken for comparisons. The results of the experiments demonstrate that the proposed ILP method achieves greater energy savings than the existing approaches. Moreover, it determines the optimal scheduling strategy in reasonable execution time for applications with a limited number of blocks.
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allfields	10.1109/ACCESS.2019.2902353 doi (DE-627)DOAJ06848450X (DE-599)DOAJ35cd1f688ad84990991117a5810b8fc0 DE-627 ger DE-627 rakwb eng TK1-9971 Yang Qin verfasserin aut Energy-Efficient Intra-Task DVFS Scheduling Using Linear Programming Formulation 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In real-time embedded systems, minimizing energy consumption is one of the most important tasks. Intra-task dynamic voltage and frequency scaling (DVFS) has been the subject of much research in the task boundary of time-constrained applications for energy reduction. The problem of optimizing energy consumption with respect to intra-task DVFS scheduling can be addressed by assigning proper operational frequencies to individual basic blocks in a program while guaranteeing the deadline. Based on the profile information of a task, we first formulate the problem in terms of integer linear programming (ILP) regarding different assumptions of transition overhead. To verify the effectiveness of ILP formulations, the most representative intra-task DVFS techniques are taken for comparisons. The results of the experiments demonstrate that the proposed ILP method achieves greater energy savings than the existing approaches. Moreover, it determines the optimal scheduling strategy in reasonable execution time for applications with a limited number of blocks. Intra-task DVFS technique time constrained applications minimize energy consumption ILP formulations Electrical engineering. Electronics. Nuclear engineering Gang Zeng verfasserin aut Ryo Kurachi verfasserin aut Yixiao Li verfasserin aut Yutaka Matsubara verfasserin aut Hiroaki Takada verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 30536-30547 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:30536-30547 https://doi.org/10.1109/ACCESS.2019.2902353 kostenfrei https://doaj.org/article/35cd1f688ad84990991117a5810b8fc0 kostenfrei https://ieeexplore.ieee.org/document/8656476/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 30536-30547
spelling	10.1109/ACCESS.2019.2902353 doi (DE-627)DOAJ06848450X (DE-599)DOAJ35cd1f688ad84990991117a5810b8fc0 DE-627 ger DE-627 rakwb eng TK1-9971 Yang Qin verfasserin aut Energy-Efficient Intra-Task DVFS Scheduling Using Linear Programming Formulation 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In real-time embedded systems, minimizing energy consumption is one of the most important tasks. Intra-task dynamic voltage and frequency scaling (DVFS) has been the subject of much research in the task boundary of time-constrained applications for energy reduction. The problem of optimizing energy consumption with respect to intra-task DVFS scheduling can be addressed by assigning proper operational frequencies to individual basic blocks in a program while guaranteeing the deadline. Based on the profile information of a task, we first formulate the problem in terms of integer linear programming (ILP) regarding different assumptions of transition overhead. To verify the effectiveness of ILP formulations, the most representative intra-task DVFS techniques are taken for comparisons. The results of the experiments demonstrate that the proposed ILP method achieves greater energy savings than the existing approaches. Moreover, it determines the optimal scheduling strategy in reasonable execution time for applications with a limited number of blocks. Intra-task DVFS technique time constrained applications minimize energy consumption ILP formulations Electrical engineering. Electronics. Nuclear engineering Gang Zeng verfasserin aut Ryo Kurachi verfasserin aut Yixiao Li verfasserin aut Yutaka Matsubara verfasserin aut Hiroaki Takada verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 30536-30547 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:30536-30547 https://doi.org/10.1109/ACCESS.2019.2902353 kostenfrei https://doaj.org/article/35cd1f688ad84990991117a5810b8fc0 kostenfrei https://ieeexplore.ieee.org/document/8656476/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 30536-30547
allfields_unstemmed	10.1109/ACCESS.2019.2902353 doi (DE-627)DOAJ06848450X (DE-599)DOAJ35cd1f688ad84990991117a5810b8fc0 DE-627 ger DE-627 rakwb eng TK1-9971 Yang Qin verfasserin aut Energy-Efficient Intra-Task DVFS Scheduling Using Linear Programming Formulation 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In real-time embedded systems, minimizing energy consumption is one of the most important tasks. Intra-task dynamic voltage and frequency scaling (DVFS) has been the subject of much research in the task boundary of time-constrained applications for energy reduction. The problem of optimizing energy consumption with respect to intra-task DVFS scheduling can be addressed by assigning proper operational frequencies to individual basic blocks in a program while guaranteeing the deadline. Based on the profile information of a task, we first formulate the problem in terms of integer linear programming (ILP) regarding different assumptions of transition overhead. To verify the effectiveness of ILP formulations, the most representative intra-task DVFS techniques are taken for comparisons. The results of the experiments demonstrate that the proposed ILP method achieves greater energy savings than the existing approaches. Moreover, it determines the optimal scheduling strategy in reasonable execution time for applications with a limited number of blocks. Intra-task DVFS technique time constrained applications minimize energy consumption ILP formulations Electrical engineering. Electronics. Nuclear engineering Gang Zeng verfasserin aut Ryo Kurachi verfasserin aut Yixiao Li verfasserin aut Yutaka Matsubara verfasserin aut Hiroaki Takada verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 30536-30547 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:30536-30547 https://doi.org/10.1109/ACCESS.2019.2902353 kostenfrei https://doaj.org/article/35cd1f688ad84990991117a5810b8fc0 kostenfrei https://ieeexplore.ieee.org/document/8656476/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 30536-30547
allfieldsGer	10.1109/ACCESS.2019.2902353 doi (DE-627)DOAJ06848450X (DE-599)DOAJ35cd1f688ad84990991117a5810b8fc0 DE-627 ger DE-627 rakwb eng TK1-9971 Yang Qin verfasserin aut Energy-Efficient Intra-Task DVFS Scheduling Using Linear Programming Formulation 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In real-time embedded systems, minimizing energy consumption is one of the most important tasks. Intra-task dynamic voltage and frequency scaling (DVFS) has been the subject of much research in the task boundary of time-constrained applications for energy reduction. The problem of optimizing energy consumption with respect to intra-task DVFS scheduling can be addressed by assigning proper operational frequencies to individual basic blocks in a program while guaranteeing the deadline. Based on the profile information of a task, we first formulate the problem in terms of integer linear programming (ILP) regarding different assumptions of transition overhead. To verify the effectiveness of ILP formulations, the most representative intra-task DVFS techniques are taken for comparisons. The results of the experiments demonstrate that the proposed ILP method achieves greater energy savings than the existing approaches. Moreover, it determines the optimal scheduling strategy in reasonable execution time for applications with a limited number of blocks. Intra-task DVFS technique time constrained applications minimize energy consumption ILP formulations Electrical engineering. Electronics. Nuclear engineering Gang Zeng verfasserin aut Ryo Kurachi verfasserin aut Yixiao Li verfasserin aut Yutaka Matsubara verfasserin aut Hiroaki Takada verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 30536-30547 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:30536-30547 https://doi.org/10.1109/ACCESS.2019.2902353 kostenfrei https://doaj.org/article/35cd1f688ad84990991117a5810b8fc0 kostenfrei https://ieeexplore.ieee.org/document/8656476/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 30536-30547
allfieldsSound	10.1109/ACCESS.2019.2902353 doi (DE-627)DOAJ06848450X (DE-599)DOAJ35cd1f688ad84990991117a5810b8fc0 DE-627 ger DE-627 rakwb eng TK1-9971 Yang Qin verfasserin aut Energy-Efficient Intra-Task DVFS Scheduling Using Linear Programming Formulation 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In real-time embedded systems, minimizing energy consumption is one of the most important tasks. Intra-task dynamic voltage and frequency scaling (DVFS) has been the subject of much research in the task boundary of time-constrained applications for energy reduction. The problem of optimizing energy consumption with respect to intra-task DVFS scheduling can be addressed by assigning proper operational frequencies to individual basic blocks in a program while guaranteeing the deadline. Based on the profile information of a task, we first formulate the problem in terms of integer linear programming (ILP) regarding different assumptions of transition overhead. To verify the effectiveness of ILP formulations, the most representative intra-task DVFS techniques are taken for comparisons. The results of the experiments demonstrate that the proposed ILP method achieves greater energy savings than the existing approaches. Moreover, it determines the optimal scheduling strategy in reasonable execution time for applications with a limited number of blocks. Intra-task DVFS technique time constrained applications minimize energy consumption ILP formulations Electrical engineering. Electronics. Nuclear engineering Gang Zeng verfasserin aut Ryo Kurachi verfasserin aut Yixiao Li verfasserin aut Yutaka Matsubara verfasserin aut Hiroaki Takada verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 30536-30547 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:30536-30547 https://doi.org/10.1109/ACCESS.2019.2902353 kostenfrei https://doaj.org/article/35cd1f688ad84990991117a5810b8fc0 kostenfrei https://ieeexplore.ieee.org/document/8656476/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 30536-30547
language	English
source	In IEEE Access 7(2019), Seite 30536-30547 volume:7 year:2019 pages:30536-30547
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topic_facet	Intra-task DVFS technique time constrained applications minimize energy consumption ILP formulations Electrical engineering. Electronics. Nuclear engineering
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authorswithroles_txt_mv	Yang Qin @@aut@@ Gang Zeng @@aut@@ Ryo Kurachi @@aut@@ Yixiao Li @@aut@@ Yutaka Matsubara @@aut@@ Hiroaki Takada @@aut@@
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callnumber-first	T - Technology
author	Yang Qin
spellingShingle	Yang Qin misc TK1-9971 misc Intra-task DVFS technique misc time constrained applications misc minimize energy consumption misc ILP formulations misc Electrical engineering. Electronics. Nuclear engineering Energy-Efficient Intra-Task DVFS Scheduling Using Linear Programming Formulation
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topic_title	TK1-9971 Energy-Efficient Intra-Task DVFS Scheduling Using Linear Programming Formulation Intra-task DVFS technique time constrained applications minimize energy consumption ILP formulations
topic	misc TK1-9971 misc Intra-task DVFS technique misc time constrained applications misc minimize energy consumption misc ILP formulations misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Intra-task DVFS technique misc time constrained applications misc minimize energy consumption misc ILP formulations misc Electrical engineering. Electronics. Nuclear engineering
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title	Energy-Efficient Intra-Task DVFS Scheduling Using Linear Programming Formulation
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title_full	Energy-Efficient Intra-Task DVFS Scheduling Using Linear Programming Formulation
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title_sort	energy-efficient intra-task dvfs scheduling using linear programming formulation
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title_auth	Energy-Efficient Intra-Task DVFS Scheduling Using Linear Programming Formulation
abstract	In real-time embedded systems, minimizing energy consumption is one of the most important tasks. Intra-task dynamic voltage and frequency scaling (DVFS) has been the subject of much research in the task boundary of time-constrained applications for energy reduction. The problem of optimizing energy consumption with respect to intra-task DVFS scheduling can be addressed by assigning proper operational frequencies to individual basic blocks in a program while guaranteeing the deadline. Based on the profile information of a task, we first formulate the problem in terms of integer linear programming (ILP) regarding different assumptions of transition overhead. To verify the effectiveness of ILP formulations, the most representative intra-task DVFS techniques are taken for comparisons. The results of the experiments demonstrate that the proposed ILP method achieves greater energy savings than the existing approaches. Moreover, it determines the optimal scheduling strategy in reasonable execution time for applications with a limited number of blocks.
abstractGer	In real-time embedded systems, minimizing energy consumption is one of the most important tasks. Intra-task dynamic voltage and frequency scaling (DVFS) has been the subject of much research in the task boundary of time-constrained applications for energy reduction. The problem of optimizing energy consumption with respect to intra-task DVFS scheduling can be addressed by assigning proper operational frequencies to individual basic blocks in a program while guaranteeing the deadline. Based on the profile information of a task, we first formulate the problem in terms of integer linear programming (ILP) regarding different assumptions of transition overhead. To verify the effectiveness of ILP formulations, the most representative intra-task DVFS techniques are taken for comparisons. The results of the experiments demonstrate that the proposed ILP method achieves greater energy savings than the existing approaches. Moreover, it determines the optimal scheduling strategy in reasonable execution time for applications with a limited number of blocks.
abstract_unstemmed	In real-time embedded systems, minimizing energy consumption is one of the most important tasks. Intra-task dynamic voltage and frequency scaling (DVFS) has been the subject of much research in the task boundary of time-constrained applications for energy reduction. The problem of optimizing energy consumption with respect to intra-task DVFS scheduling can be addressed by assigning proper operational frequencies to individual basic blocks in a program while guaranteeing the deadline. Based on the profile information of a task, we first formulate the problem in terms of integer linear programming (ILP) regarding different assumptions of transition overhead. To verify the effectiveness of ILP formulations, the most representative intra-task DVFS techniques are taken for comparisons. The results of the experiments demonstrate that the proposed ILP method achieves greater energy savings than the existing approaches. Moreover, it determines the optimal scheduling strategy in reasonable execution time for applications with a limited number of blocks.
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title_short	Energy-Efficient Intra-Task DVFS Scheduling Using Linear Programming Formulation
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