Exact speedup factors and sub-optimality for non-preemptive scheduling

Abstract Fixed priority scheduling is used in many real-time systems; however, both preemptive and non-preemptive variants (FP-P and FP-NP) are known to be sub-optimal when compared to an optimal uniprocessor scheduling algorithm such as preemptive earliest deadline first (EDF-P). In this paper, we...
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Autor*in:	Davis, Robert I. [verfasserIn] Thekkilakattil, Abhilash [verfasserIn] Gettings, Oliver [verfasserIn] Dobrin, Radu [verfasserIn] Punnekkat, Sasikumar [verfasserIn] Chen, Jian-Jia [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Real-time Uniprocessor Resource augmentation Speedup factor Sub-optimality Non-preemptive scheduling Preemptive scheduling EDF Fixed priority

Übergeordnetes Werk:	Enthalten in: Real-time systems - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1989, 54(2017), 1 vom: 28. Okt., Seite 208-246
Übergeordnetes Werk:	volume:54 ; year:2017 ; number:1 ; day:28 ; month:10 ; pages:208-246

Links:	Volltext

DOI / URN:	10.1007/s11241-017-9294-3

Katalog-ID:	SPR018061354

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520			\|a Abstract Fixed priority scheduling is used in many real-time systems; however, both preemptive and non-preemptive variants (FP-P and FP-NP) are known to be sub-optimal when compared to an optimal uniprocessor scheduling algorithm such as preemptive earliest deadline first (EDF-P). In this paper, we investigate the sub-optimality of fixed priority non-preemptive scheduling. Specifically, we derive the exact processor speed-up factor required to guarantee the feasibility under FP-NP (i.e. schedulability assuming an optimal priority assignment) of any task set that is feasible under EDF-P. As a consequence of this work, we also derive a lower bound on the sub-optimality of non-preemptive EDF (EDF-NP). As this lower bound matches a recently published upper bound for the same quantity, it closes the exact sub-optimality for EDF-NP. It is known that neither preemptive, nor non-preemptive fixed priority scheduling dominates the other, in other words, there are task sets that are feasible on a processor of unit speed under FP-P that are not feasible under FP-NP and vice-versa. Hence comparing these two algorithms, there are non-trivial speedup factors in both directions. We derive the exact speed-up factor required to guarantee the FP-NP feasibility of any FP-P feasible task set. Further, we derive the exact speed-up factor required to guarantee FP-P feasibility of any constrained-deadline FP-NP feasible task set.
650		4	\|a Real-time \|7 (dpeaa)DE-He213
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650		4	\|a Resource augmentation \|7 (dpeaa)DE-He213
650		4	\|a Speedup factor \|7 (dpeaa)DE-He213
650		4	\|a Sub-optimality \|7 (dpeaa)DE-He213
650		4	\|a Non-preemptive scheduling \|7 (dpeaa)DE-He213
650		4	\|a Preemptive scheduling \|7 (dpeaa)DE-He213
650		4	\|a EDF \|7 (dpeaa)DE-He213
650		4	\|a Fixed priority \|7 (dpeaa)DE-He213
700	1		\|a Thekkilakattil, Abhilash \|e verfasserin \|4 aut
700	1		\|a Gettings, Oliver \|e verfasserin \|4 aut
700	1		\|a Dobrin, Radu \|e verfasserin \|4 aut
700	1		\|a Punnekkat, Sasikumar \|e verfasserin \|4 aut
700	1		\|a Chen, Jian-Jia \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Real-time systems \|d Dordrecht [u.a.] : Springer Science + Business Media B.V, 1989 \|g 54(2017), 1 vom: 28. Okt., Seite 208-246 \|w (DE-627)271351209 \|w (DE-600)1480026-3 \|x 1573-1383 \|7 nnns
773	1	8	\|g volume:54 \|g year:2017 \|g number:1 \|g day:28 \|g month:10 \|g pages:208-246
856	4	0	\|u https://dx.doi.org/10.1007/s11241-017-9294-3 \|z kostenfrei \|3 Volltext
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Indexfelder

author_variant	r i d ri rid a t at o g og r d rd s p sp j j c jjc
matchkey_str	article:15731383:2017----::xcsedpatraduotmltfrope
hierarchy_sort_str	2017
bklnumber	54.27
publishDate	2017
allfields	10.1007/s11241-017-9294-3 doi (DE-627)SPR018061354 (SPR)s11241-017-9294-3-e DE-627 ger DE-627 rakwb eng 004 ASE 54.27 bkl Davis, Robert I. verfasserin aut Exact speedup factors and sub-optimality for non-preemptive scheduling 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Fixed priority scheduling is used in many real-time systems; however, both preemptive and non-preemptive variants (FP-P and FP-NP) are known to be sub-optimal when compared to an optimal uniprocessor scheduling algorithm such as preemptive earliest deadline first (EDF-P). In this paper, we investigate the sub-optimality of fixed priority non-preemptive scheduling. Specifically, we derive the exact processor speed-up factor required to guarantee the feasibility under FP-NP (i.e. schedulability assuming an optimal priority assignment) of any task set that is feasible under EDF-P. As a consequence of this work, we also derive a lower bound on the sub-optimality of non-preemptive EDF (EDF-NP). As this lower bound matches a recently published upper bound for the same quantity, it closes the exact sub-optimality for EDF-NP. It is known that neither preemptive, nor non-preemptive fixed priority scheduling dominates the other, in other words, there are task sets that are feasible on a processor of unit speed under FP-P that are not feasible under FP-NP and vice-versa. Hence comparing these two algorithms, there are non-trivial speedup factors in both directions. We derive the exact speed-up factor required to guarantee the FP-NP feasibility of any FP-P feasible task set. Further, we derive the exact speed-up factor required to guarantee FP-P feasibility of any constrained-deadline FP-NP feasible task set. Real-time (dpeaa)DE-He213 Uniprocessor (dpeaa)DE-He213 Resource augmentation (dpeaa)DE-He213 Speedup factor (dpeaa)DE-He213 Sub-optimality (dpeaa)DE-He213 Non-preemptive scheduling (dpeaa)DE-He213 Preemptive scheduling (dpeaa)DE-He213 EDF (dpeaa)DE-He213 Fixed priority (dpeaa)DE-He213 Thekkilakattil, Abhilash verfasserin aut Gettings, Oliver verfasserin aut Dobrin, Radu verfasserin aut Punnekkat, Sasikumar verfasserin aut Chen, Jian-Jia verfasserin aut Enthalten in Real-time systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1989 54(2017), 1 vom: 28. Okt., Seite 208-246 (DE-627)271351209 (DE-600)1480026-3 1573-1383 nnns volume:54 year:2017 number:1 day:28 month:10 pages:208-246 https://dx.doi.org/10.1007/s11241-017-9294-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.27 ASE AR 54 2017 1 28 10 208-246
spelling	10.1007/s11241-017-9294-3 doi (DE-627)SPR018061354 (SPR)s11241-017-9294-3-e DE-627 ger DE-627 rakwb eng 004 ASE 54.27 bkl Davis, Robert I. verfasserin aut Exact speedup factors and sub-optimality for non-preemptive scheduling 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Fixed priority scheduling is used in many real-time systems; however, both preemptive and non-preemptive variants (FP-P and FP-NP) are known to be sub-optimal when compared to an optimal uniprocessor scheduling algorithm such as preemptive earliest deadline first (EDF-P). In this paper, we investigate the sub-optimality of fixed priority non-preemptive scheduling. Specifically, we derive the exact processor speed-up factor required to guarantee the feasibility under FP-NP (i.e. schedulability assuming an optimal priority assignment) of any task set that is feasible under EDF-P. As a consequence of this work, we also derive a lower bound on the sub-optimality of non-preemptive EDF (EDF-NP). As this lower bound matches a recently published upper bound for the same quantity, it closes the exact sub-optimality for EDF-NP. It is known that neither preemptive, nor non-preemptive fixed priority scheduling dominates the other, in other words, there are task sets that are feasible on a processor of unit speed under FP-P that are not feasible under FP-NP and vice-versa. Hence comparing these two algorithms, there are non-trivial speedup factors in both directions. We derive the exact speed-up factor required to guarantee the FP-NP feasibility of any FP-P feasible task set. Further, we derive the exact speed-up factor required to guarantee FP-P feasibility of any constrained-deadline FP-NP feasible task set. Real-time (dpeaa)DE-He213 Uniprocessor (dpeaa)DE-He213 Resource augmentation (dpeaa)DE-He213 Speedup factor (dpeaa)DE-He213 Sub-optimality (dpeaa)DE-He213 Non-preemptive scheduling (dpeaa)DE-He213 Preemptive scheduling (dpeaa)DE-He213 EDF (dpeaa)DE-He213 Fixed priority (dpeaa)DE-He213 Thekkilakattil, Abhilash verfasserin aut Gettings, Oliver verfasserin aut Dobrin, Radu verfasserin aut Punnekkat, Sasikumar verfasserin aut Chen, Jian-Jia verfasserin aut Enthalten in Real-time systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1989 54(2017), 1 vom: 28. Okt., Seite 208-246 (DE-627)271351209 (DE-600)1480026-3 1573-1383 nnns volume:54 year:2017 number:1 day:28 month:10 pages:208-246 https://dx.doi.org/10.1007/s11241-017-9294-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.27 ASE AR 54 2017 1 28 10 208-246
allfields_unstemmed	10.1007/s11241-017-9294-3 doi (DE-627)SPR018061354 (SPR)s11241-017-9294-3-e DE-627 ger DE-627 rakwb eng 004 ASE 54.27 bkl Davis, Robert I. verfasserin aut Exact speedup factors and sub-optimality for non-preemptive scheduling 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Fixed priority scheduling is used in many real-time systems; however, both preemptive and non-preemptive variants (FP-P and FP-NP) are known to be sub-optimal when compared to an optimal uniprocessor scheduling algorithm such as preemptive earliest deadline first (EDF-P). In this paper, we investigate the sub-optimality of fixed priority non-preemptive scheduling. Specifically, we derive the exact processor speed-up factor required to guarantee the feasibility under FP-NP (i.e. schedulability assuming an optimal priority assignment) of any task set that is feasible under EDF-P. As a consequence of this work, we also derive a lower bound on the sub-optimality of non-preemptive EDF (EDF-NP). As this lower bound matches a recently published upper bound for the same quantity, it closes the exact sub-optimality for EDF-NP. It is known that neither preemptive, nor non-preemptive fixed priority scheduling dominates the other, in other words, there are task sets that are feasible on a processor of unit speed under FP-P that are not feasible under FP-NP and vice-versa. Hence comparing these two algorithms, there are non-trivial speedup factors in both directions. We derive the exact speed-up factor required to guarantee the FP-NP feasibility of any FP-P feasible task set. Further, we derive the exact speed-up factor required to guarantee FP-P feasibility of any constrained-deadline FP-NP feasible task set. Real-time (dpeaa)DE-He213 Uniprocessor (dpeaa)DE-He213 Resource augmentation (dpeaa)DE-He213 Speedup factor (dpeaa)DE-He213 Sub-optimality (dpeaa)DE-He213 Non-preemptive scheduling (dpeaa)DE-He213 Preemptive scheduling (dpeaa)DE-He213 EDF (dpeaa)DE-He213 Fixed priority (dpeaa)DE-He213 Thekkilakattil, Abhilash verfasserin aut Gettings, Oliver verfasserin aut Dobrin, Radu verfasserin aut Punnekkat, Sasikumar verfasserin aut Chen, Jian-Jia verfasserin aut Enthalten in Real-time systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1989 54(2017), 1 vom: 28. Okt., Seite 208-246 (DE-627)271351209 (DE-600)1480026-3 1573-1383 nnns volume:54 year:2017 number:1 day:28 month:10 pages:208-246 https://dx.doi.org/10.1007/s11241-017-9294-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.27 ASE AR 54 2017 1 28 10 208-246
allfieldsGer	10.1007/s11241-017-9294-3 doi (DE-627)SPR018061354 (SPR)s11241-017-9294-3-e DE-627 ger DE-627 rakwb eng 004 ASE 54.27 bkl Davis, Robert I. verfasserin aut Exact speedup factors and sub-optimality for non-preemptive scheduling 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Fixed priority scheduling is used in many real-time systems; however, both preemptive and non-preemptive variants (FP-P and FP-NP) are known to be sub-optimal when compared to an optimal uniprocessor scheduling algorithm such as preemptive earliest deadline first (EDF-P). In this paper, we investigate the sub-optimality of fixed priority non-preemptive scheduling. Specifically, we derive the exact processor speed-up factor required to guarantee the feasibility under FP-NP (i.e. schedulability assuming an optimal priority assignment) of any task set that is feasible under EDF-P. As a consequence of this work, we also derive a lower bound on the sub-optimality of non-preemptive EDF (EDF-NP). As this lower bound matches a recently published upper bound for the same quantity, it closes the exact sub-optimality for EDF-NP. It is known that neither preemptive, nor non-preemptive fixed priority scheduling dominates the other, in other words, there are task sets that are feasible on a processor of unit speed under FP-P that are not feasible under FP-NP and vice-versa. Hence comparing these two algorithms, there are non-trivial speedup factors in both directions. We derive the exact speed-up factor required to guarantee the FP-NP feasibility of any FP-P feasible task set. Further, we derive the exact speed-up factor required to guarantee FP-P feasibility of any constrained-deadline FP-NP feasible task set. Real-time (dpeaa)DE-He213 Uniprocessor (dpeaa)DE-He213 Resource augmentation (dpeaa)DE-He213 Speedup factor (dpeaa)DE-He213 Sub-optimality (dpeaa)DE-He213 Non-preemptive scheduling (dpeaa)DE-He213 Preemptive scheduling (dpeaa)DE-He213 EDF (dpeaa)DE-He213 Fixed priority (dpeaa)DE-He213 Thekkilakattil, Abhilash verfasserin aut Gettings, Oliver verfasserin aut Dobrin, Radu verfasserin aut Punnekkat, Sasikumar verfasserin aut Chen, Jian-Jia verfasserin aut Enthalten in Real-time systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1989 54(2017), 1 vom: 28. Okt., Seite 208-246 (DE-627)271351209 (DE-600)1480026-3 1573-1383 nnns volume:54 year:2017 number:1 day:28 month:10 pages:208-246 https://dx.doi.org/10.1007/s11241-017-9294-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.27 ASE AR 54 2017 1 28 10 208-246
allfieldsSound	10.1007/s11241-017-9294-3 doi (DE-627)SPR018061354 (SPR)s11241-017-9294-3-e DE-627 ger DE-627 rakwb eng 004 ASE 54.27 bkl Davis, Robert I. verfasserin aut Exact speedup factors and sub-optimality for non-preemptive scheduling 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Fixed priority scheduling is used in many real-time systems; however, both preemptive and non-preemptive variants (FP-P and FP-NP) are known to be sub-optimal when compared to an optimal uniprocessor scheduling algorithm such as preemptive earliest deadline first (EDF-P). In this paper, we investigate the sub-optimality of fixed priority non-preemptive scheduling. Specifically, we derive the exact processor speed-up factor required to guarantee the feasibility under FP-NP (i.e. schedulability assuming an optimal priority assignment) of any task set that is feasible under EDF-P. As a consequence of this work, we also derive a lower bound on the sub-optimality of non-preemptive EDF (EDF-NP). As this lower bound matches a recently published upper bound for the same quantity, it closes the exact sub-optimality for EDF-NP. It is known that neither preemptive, nor non-preemptive fixed priority scheduling dominates the other, in other words, there are task sets that are feasible on a processor of unit speed under FP-P that are not feasible under FP-NP and vice-versa. Hence comparing these two algorithms, there are non-trivial speedup factors in both directions. We derive the exact speed-up factor required to guarantee the FP-NP feasibility of any FP-P feasible task set. Further, we derive the exact speed-up factor required to guarantee FP-P feasibility of any constrained-deadline FP-NP feasible task set. Real-time (dpeaa)DE-He213 Uniprocessor (dpeaa)DE-He213 Resource augmentation (dpeaa)DE-He213 Speedup factor (dpeaa)DE-He213 Sub-optimality (dpeaa)DE-He213 Non-preemptive scheduling (dpeaa)DE-He213 Preemptive scheduling (dpeaa)DE-He213 EDF (dpeaa)DE-He213 Fixed priority (dpeaa)DE-He213 Thekkilakattil, Abhilash verfasserin aut Gettings, Oliver verfasserin aut Dobrin, Radu verfasserin aut Punnekkat, Sasikumar verfasserin aut Chen, Jian-Jia verfasserin aut Enthalten in Real-time systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1989 54(2017), 1 vom: 28. Okt., Seite 208-246 (DE-627)271351209 (DE-600)1480026-3 1573-1383 nnns volume:54 year:2017 number:1 day:28 month:10 pages:208-246 https://dx.doi.org/10.1007/s11241-017-9294-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.27 ASE AR 54 2017 1 28 10 208-246
language	English
source	Enthalten in Real-time systems 54(2017), 1 vom: 28. Okt., Seite 208-246 volume:54 year:2017 number:1 day:28 month:10 pages:208-246
sourceStr	Enthalten in Real-time systems 54(2017), 1 vom: 28. Okt., Seite 208-246 volume:54 year:2017 number:1 day:28 month:10 pages:208-246
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Real-time Uniprocessor Resource augmentation Speedup factor Sub-optimality Non-preemptive scheduling Preemptive scheduling EDF Fixed priority
dewey-raw	004
isfreeaccess_bool	true
container_title	Real-time systems
authorswithroles_txt_mv	Davis, Robert I. @@aut@@ Thekkilakattil, Abhilash @@aut@@ Gettings, Oliver @@aut@@ Dobrin, Radu @@aut@@ Punnekkat, Sasikumar @@aut@@ Chen, Jian-Jia @@aut@@
publishDateDaySort_date	2017-10-28T00:00:00Z
hierarchy_top_id	271351209
dewey-sort	14
id	SPR018061354
language_de	englisch
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author	Davis, Robert I.
spellingShingle	Davis, Robert I. ddc 004 bkl 54.27 misc Real-time misc Uniprocessor misc Resource augmentation misc Speedup factor misc Sub-optimality misc Non-preemptive scheduling misc Preemptive scheduling misc EDF misc Fixed priority Exact speedup factors and sub-optimality for non-preemptive scheduling
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topic_title	004 ASE 54.27 bkl Exact speedup factors and sub-optimality for non-preemptive scheduling Real-time (dpeaa)DE-He213 Uniprocessor (dpeaa)DE-He213 Resource augmentation (dpeaa)DE-He213 Speedup factor (dpeaa)DE-He213 Sub-optimality (dpeaa)DE-He213 Non-preemptive scheduling (dpeaa)DE-He213 Preemptive scheduling (dpeaa)DE-He213 EDF (dpeaa)DE-He213 Fixed priority (dpeaa)DE-He213
topic	ddc 004 bkl 54.27 misc Real-time misc Uniprocessor misc Resource augmentation misc Speedup factor misc Sub-optimality misc Non-preemptive scheduling misc Preemptive scheduling misc EDF misc Fixed priority
topic_unstemmed	ddc 004 bkl 54.27 misc Real-time misc Uniprocessor misc Resource augmentation misc Speedup factor misc Sub-optimality misc Non-preemptive scheduling misc Preemptive scheduling misc EDF misc Fixed priority
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title	Exact speedup factors and sub-optimality for non-preemptive scheduling
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title_full	Exact speedup factors and sub-optimality for non-preemptive scheduling
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author_browse	Davis, Robert I. Thekkilakattil, Abhilash Gettings, Oliver Dobrin, Radu Punnekkat, Sasikumar Chen, Jian-Jia
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title_sort	exact speedup factors and sub-optimality for non-preemptive scheduling
title_auth	Exact speedup factors and sub-optimality for non-preemptive scheduling
abstract	Abstract Fixed priority scheduling is used in many real-time systems; however, both preemptive and non-preemptive variants (FP-P and FP-NP) are known to be sub-optimal when compared to an optimal uniprocessor scheduling algorithm such as preemptive earliest deadline first (EDF-P). In this paper, we investigate the sub-optimality of fixed priority non-preemptive scheduling. Specifically, we derive the exact processor speed-up factor required to guarantee the feasibility under FP-NP (i.e. schedulability assuming an optimal priority assignment) of any task set that is feasible under EDF-P. As a consequence of this work, we also derive a lower bound on the sub-optimality of non-preemptive EDF (EDF-NP). As this lower bound matches a recently published upper bound for the same quantity, it closes the exact sub-optimality for EDF-NP. It is known that neither preemptive, nor non-preemptive fixed priority scheduling dominates the other, in other words, there are task sets that are feasible on a processor of unit speed under FP-P that are not feasible under FP-NP and vice-versa. Hence comparing these two algorithms, there are non-trivial speedup factors in both directions. We derive the exact speed-up factor required to guarantee the FP-NP feasibility of any FP-P feasible task set. Further, we derive the exact speed-up factor required to guarantee FP-P feasibility of any constrained-deadline FP-NP feasible task set.
abstractGer	Abstract Fixed priority scheduling is used in many real-time systems; however, both preemptive and non-preemptive variants (FP-P and FP-NP) are known to be sub-optimal when compared to an optimal uniprocessor scheduling algorithm such as preemptive earliest deadline first (EDF-P). In this paper, we investigate the sub-optimality of fixed priority non-preemptive scheduling. Specifically, we derive the exact processor speed-up factor required to guarantee the feasibility under FP-NP (i.e. schedulability assuming an optimal priority assignment) of any task set that is feasible under EDF-P. As a consequence of this work, we also derive a lower bound on the sub-optimality of non-preemptive EDF (EDF-NP). As this lower bound matches a recently published upper bound for the same quantity, it closes the exact sub-optimality for EDF-NP. It is known that neither preemptive, nor non-preemptive fixed priority scheduling dominates the other, in other words, there are task sets that are feasible on a processor of unit speed under FP-P that are not feasible under FP-NP and vice-versa. Hence comparing these two algorithms, there are non-trivial speedup factors in both directions. We derive the exact speed-up factor required to guarantee the FP-NP feasibility of any FP-P feasible task set. Further, we derive the exact speed-up factor required to guarantee FP-P feasibility of any constrained-deadline FP-NP feasible task set.
abstract_unstemmed	Abstract Fixed priority scheduling is used in many real-time systems; however, both preemptive and non-preemptive variants (FP-P and FP-NP) are known to be sub-optimal when compared to an optimal uniprocessor scheduling algorithm such as preemptive earliest deadline first (EDF-P). In this paper, we investigate the sub-optimality of fixed priority non-preemptive scheduling. Specifically, we derive the exact processor speed-up factor required to guarantee the feasibility under FP-NP (i.e. schedulability assuming an optimal priority assignment) of any task set that is feasible under EDF-P. As a consequence of this work, we also derive a lower bound on the sub-optimality of non-preemptive EDF (EDF-NP). As this lower bound matches a recently published upper bound for the same quantity, it closes the exact sub-optimality for EDF-NP. It is known that neither preemptive, nor non-preemptive fixed priority scheduling dominates the other, in other words, there are task sets that are feasible on a processor of unit speed under FP-P that are not feasible under FP-NP and vice-versa. Hence comparing these two algorithms, there are non-trivial speedup factors in both directions. We derive the exact speed-up factor required to guarantee the FP-NP feasibility of any FP-P feasible task set. Further, we derive the exact speed-up factor required to guarantee FP-P feasibility of any constrained-deadline FP-NP feasible task set.
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container_issue	1
title_short	Exact speedup factors and sub-optimality for non-preemptive scheduling
url	https://dx.doi.org/10.1007/s11241-017-9294-3
remote_bool	true
author2	Thekkilakattil, Abhilash Gettings, Oliver Dobrin, Radu Punnekkat, Sasikumar Chen, Jian-Jia
author2Str	Thekkilakattil, Abhilash Gettings, Oliver Dobrin, Radu Punnekkat, Sasikumar Chen, Jian-Jia
ppnlink	271351209
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isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1007/s11241-017-9294-3
up_date	2024-07-03T17:05:03.170Z
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Exact speedup factors and sub-optimality for non-preemptive scheduling

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