Control of resource-intensive computations under uncertainty. III. Dynamic concurrent resource allocation

Abstract Control problems for a heterogeneous system executing heterogeneous search tasks are considered. Data parallelization of tasks under objective uncertainty—for the unknown and rapidly changing flow of incoming requests—is studied. Critical modes of operation under big system work-loads are a...
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Autor*in:	Malashenko, Yu. E. [verfasserIn] Nazarova, I. A.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	Processing Unit System Science International Plan Period Unique Fragment Data Fragment

Anmerkung:	© Pleiades Publishing, Ltd. 2015

Übergeordnetes Werk:	Enthalten in: Journal of computer and systems sciences international - Moscow : MAIK/Interperiodica Publ., 2006, 54(2015), 1 vom: Jan., Seite 48-58
Übergeordnetes Werk:	volume:54 ; year:2015 ; number:1 ; month:01 ; pages:48-58

Links:	Volltext

DOI / URN:	10.1134/S1064230715010104

Katalog-ID:	SPR020103751

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520			\|a Abstract Control problems for a heterogeneous system executing heterogeneous search tasks are considered. Data parallelization of tasks under objective uncertainty—for the unknown and rapidly changing flow of incoming requests—is studied. Critical modes of operation under big system work-loads are analyzed. The modified sliding scheduling method allows correcting the processing procedure in real time. A way of dynamic construction of a sequence of non-discriminating concurrent allocations of limited different-type resources between users with equal rights is proposed. A concept of normative maximal performance of the system processing one type of tasks in the single-user mode is introduced. Parametric guaranteed estimates are used to decompose tasks with respect to their type. Scheduling procedures according to which tasks that de facto require less computational costs receive the processing priority and are completed first of all are developed.
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912			\|a GBV_ILN_74
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912			\|a GBV_ILN_95
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912			\|a GBV_ILN_101
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_120
912			\|a GBV_ILN_138
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_152
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_171
912			\|a GBV_ILN_187
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_250
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
912			\|a GBV_ILN_702
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912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2007
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912			\|a GBV_ILN_2548
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publishDate	2015
allfields	10.1134/S1064230715010104 doi (DE-627)SPR020103751 (SPR)S1064230715010104-e DE-627 ger DE-627 rakwb eng Malashenko, Yu. E. verfasserin aut Control of resource-intensive computations under uncertainty. III. Dynamic concurrent resource allocation 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2015 Abstract Control problems for a heterogeneous system executing heterogeneous search tasks are considered. Data parallelization of tasks under objective uncertainty—for the unknown and rapidly changing flow of incoming requests—is studied. Critical modes of operation under big system work-loads are analyzed. The modified sliding scheduling method allows correcting the processing procedure in real time. A way of dynamic construction of a sequence of non-discriminating concurrent allocations of limited different-type resources between users with equal rights is proposed. A concept of normative maximal performance of the system processing one type of tasks in the single-user mode is introduced. Parametric guaranteed estimates are used to decompose tasks with respect to their type. Scheduling procedures according to which tasks that de facto require less computational costs receive the processing priority and are completed first of all are developed. Processing Unit (dpeaa)DE-He213 System Science International (dpeaa)DE-He213 Plan Period (dpeaa)DE-He213 Unique Fragment (dpeaa)DE-He213 Data Fragment (dpeaa)DE-He213 Nazarova, I. A. aut Enthalten in Journal of computer and systems sciences international Moscow : MAIK/Interperiodica Publ., 2006 54(2015), 1 vom: Jan., Seite 48-58 (DE-627)376274565 (DE-600)2130267-4 1555-6530 nnns volume:54 year:2015 number:1 month:01 pages:48-58 https://dx.doi.org/10.1134/S1064230715010104 lizenzpflichtig 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_65 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_4126 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 AR 54 2015 1 01 48-58
spelling	10.1134/S1064230715010104 doi (DE-627)SPR020103751 (SPR)S1064230715010104-e DE-627 ger DE-627 rakwb eng Malashenko, Yu. E. verfasserin aut Control of resource-intensive computations under uncertainty. III. Dynamic concurrent resource allocation 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2015 Abstract Control problems for a heterogeneous system executing heterogeneous search tasks are considered. Data parallelization of tasks under objective uncertainty—for the unknown and rapidly changing flow of incoming requests—is studied. Critical modes of operation under big system work-loads are analyzed. The modified sliding scheduling method allows correcting the processing procedure in real time. A way of dynamic construction of a sequence of non-discriminating concurrent allocations of limited different-type resources between users with equal rights is proposed. A concept of normative maximal performance of the system processing one type of tasks in the single-user mode is introduced. Parametric guaranteed estimates are used to decompose tasks with respect to their type. Scheduling procedures according to which tasks that de facto require less computational costs receive the processing priority and are completed first of all are developed. Processing Unit (dpeaa)DE-He213 System Science International (dpeaa)DE-He213 Plan Period (dpeaa)DE-He213 Unique Fragment (dpeaa)DE-He213 Data Fragment (dpeaa)DE-He213 Nazarova, I. A. aut Enthalten in Journal of computer and systems sciences international Moscow : MAIK/Interperiodica Publ., 2006 54(2015), 1 vom: Jan., Seite 48-58 (DE-627)376274565 (DE-600)2130267-4 1555-6530 nnns volume:54 year:2015 number:1 month:01 pages:48-58 https://dx.doi.org/10.1134/S1064230715010104 lizenzpflichtig 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_65 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_4126 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 AR 54 2015 1 01 48-58
allfields_unstemmed	10.1134/S1064230715010104 doi (DE-627)SPR020103751 (SPR)S1064230715010104-e DE-627 ger DE-627 rakwb eng Malashenko, Yu. E. verfasserin aut Control of resource-intensive computations under uncertainty. III. Dynamic concurrent resource allocation 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2015 Abstract Control problems for a heterogeneous system executing heterogeneous search tasks are considered. Data parallelization of tasks under objective uncertainty—for the unknown and rapidly changing flow of incoming requests—is studied. Critical modes of operation under big system work-loads are analyzed. The modified sliding scheduling method allows correcting the processing procedure in real time. A way of dynamic construction of a sequence of non-discriminating concurrent allocations of limited different-type resources between users with equal rights is proposed. A concept of normative maximal performance of the system processing one type of tasks in the single-user mode is introduced. Parametric guaranteed estimates are used to decompose tasks with respect to their type. Scheduling procedures according to which tasks that de facto require less computational costs receive the processing priority and are completed first of all are developed. Processing Unit (dpeaa)DE-He213 System Science International (dpeaa)DE-He213 Plan Period (dpeaa)DE-He213 Unique Fragment (dpeaa)DE-He213 Data Fragment (dpeaa)DE-He213 Nazarova, I. A. aut Enthalten in Journal of computer and systems sciences international Moscow : MAIK/Interperiodica Publ., 2006 54(2015), 1 vom: Jan., Seite 48-58 (DE-627)376274565 (DE-600)2130267-4 1555-6530 nnns volume:54 year:2015 number:1 month:01 pages:48-58 https://dx.doi.org/10.1134/S1064230715010104 lizenzpflichtig 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_65 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_4126 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 AR 54 2015 1 01 48-58
allfieldsGer	10.1134/S1064230715010104 doi (DE-627)SPR020103751 (SPR)S1064230715010104-e DE-627 ger DE-627 rakwb eng Malashenko, Yu. E. verfasserin aut Control of resource-intensive computations under uncertainty. III. Dynamic concurrent resource allocation 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2015 Abstract Control problems for a heterogeneous system executing heterogeneous search tasks are considered. Data parallelization of tasks under objective uncertainty—for the unknown and rapidly changing flow of incoming requests—is studied. Critical modes of operation under big system work-loads are analyzed. The modified sliding scheduling method allows correcting the processing procedure in real time. A way of dynamic construction of a sequence of non-discriminating concurrent allocations of limited different-type resources between users with equal rights is proposed. A concept of normative maximal performance of the system processing one type of tasks in the single-user mode is introduced. Parametric guaranteed estimates are used to decompose tasks with respect to their type. Scheduling procedures according to which tasks that de facto require less computational costs receive the processing priority and are completed first of all are developed. Processing Unit (dpeaa)DE-He213 System Science International (dpeaa)DE-He213 Plan Period (dpeaa)DE-He213 Unique Fragment (dpeaa)DE-He213 Data Fragment (dpeaa)DE-He213 Nazarova, I. A. aut Enthalten in Journal of computer and systems sciences international Moscow : MAIK/Interperiodica Publ., 2006 54(2015), 1 vom: Jan., Seite 48-58 (DE-627)376274565 (DE-600)2130267-4 1555-6530 nnns volume:54 year:2015 number:1 month:01 pages:48-58 https://dx.doi.org/10.1134/S1064230715010104 lizenzpflichtig 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_65 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_4126 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 AR 54 2015 1 01 48-58
allfieldsSound	10.1134/S1064230715010104 doi (DE-627)SPR020103751 (SPR)S1064230715010104-e DE-627 ger DE-627 rakwb eng Malashenko, Yu. E. verfasserin aut Control of resource-intensive computations under uncertainty. III. Dynamic concurrent resource allocation 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2015 Abstract Control problems for a heterogeneous system executing heterogeneous search tasks are considered. Data parallelization of tasks under objective uncertainty—for the unknown and rapidly changing flow of incoming requests—is studied. Critical modes of operation under big system work-loads are analyzed. The modified sliding scheduling method allows correcting the processing procedure in real time. A way of dynamic construction of a sequence of non-discriminating concurrent allocations of limited different-type resources between users with equal rights is proposed. A concept of normative maximal performance of the system processing one type of tasks in the single-user mode is introduced. Parametric guaranteed estimates are used to decompose tasks with respect to their type. Scheduling procedures according to which tasks that de facto require less computational costs receive the processing priority and are completed first of all are developed. Processing Unit (dpeaa)DE-He213 System Science International (dpeaa)DE-He213 Plan Period (dpeaa)DE-He213 Unique Fragment (dpeaa)DE-He213 Data Fragment (dpeaa)DE-He213 Nazarova, I. A. aut Enthalten in Journal of computer and systems sciences international Moscow : MAIK/Interperiodica Publ., 2006 54(2015), 1 vom: Jan., Seite 48-58 (DE-627)376274565 (DE-600)2130267-4 1555-6530 nnns volume:54 year:2015 number:1 month:01 pages:48-58 https://dx.doi.org/10.1134/S1064230715010104 lizenzpflichtig 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_65 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_4126 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 AR 54 2015 1 01 48-58
language	English
source	Enthalten in Journal of computer and systems sciences international 54(2015), 1 vom: Jan., Seite 48-58 volume:54 year:2015 number:1 month:01 pages:48-58
sourceStr	Enthalten in Journal of computer and systems sciences international 54(2015), 1 vom: Jan., Seite 48-58 volume:54 year:2015 number:1 month:01 pages:48-58
format_phy_str_mv	Article
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container_title	Journal of computer and systems sciences international
authorswithroles_txt_mv	Malashenko, Yu. E. @@aut@@ Nazarova, I. A. @@aut@@
publishDateDaySort_date	2015-01-01T00:00:00Z
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author	Malashenko, Yu. E.
spellingShingle	Malashenko, Yu. E. misc Processing Unit misc System Science International misc Plan Period misc Unique Fragment misc Data Fragment Control of resource-intensive computations under uncertainty. III. Dynamic concurrent resource allocation
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topic_title	Control of resource-intensive computations under uncertainty. III. Dynamic concurrent resource allocation Processing Unit (dpeaa)DE-He213 System Science International (dpeaa)DE-He213 Plan Period (dpeaa)DE-He213 Unique Fragment (dpeaa)DE-He213 Data Fragment (dpeaa)DE-He213
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title	Control of resource-intensive computations under uncertainty. III. Dynamic concurrent resource allocation
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title_full	Control of resource-intensive computations under uncertainty. III. Dynamic concurrent resource allocation
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title_sort	control of resource-intensive computations under uncertainty. iii. dynamic concurrent resource allocation
title_auth	Control of resource-intensive computations under uncertainty. III. Dynamic concurrent resource allocation
abstract	Abstract Control problems for a heterogeneous system executing heterogeneous search tasks are considered. Data parallelization of tasks under objective uncertainty—for the unknown and rapidly changing flow of incoming requests—is studied. Critical modes of operation under big system work-loads are analyzed. The modified sliding scheduling method allows correcting the processing procedure in real time. A way of dynamic construction of a sequence of non-discriminating concurrent allocations of limited different-type resources between users with equal rights is proposed. A concept of normative maximal performance of the system processing one type of tasks in the single-user mode is introduced. Parametric guaranteed estimates are used to decompose tasks with respect to their type. Scheduling procedures according to which tasks that de facto require less computational costs receive the processing priority and are completed first of all are developed. © Pleiades Publishing, Ltd. 2015
abstractGer	Abstract Control problems for a heterogeneous system executing heterogeneous search tasks are considered. Data parallelization of tasks under objective uncertainty—for the unknown and rapidly changing flow of incoming requests—is studied. Critical modes of operation under big system work-loads are analyzed. The modified sliding scheduling method allows correcting the processing procedure in real time. A way of dynamic construction of a sequence of non-discriminating concurrent allocations of limited different-type resources between users with equal rights is proposed. A concept of normative maximal performance of the system processing one type of tasks in the single-user mode is introduced. Parametric guaranteed estimates are used to decompose tasks with respect to their type. Scheduling procedures according to which tasks that de facto require less computational costs receive the processing priority and are completed first of all are developed. © Pleiades Publishing, Ltd. 2015
abstract_unstemmed	Abstract Control problems for a heterogeneous system executing heterogeneous search tasks are considered. Data parallelization of tasks under objective uncertainty—for the unknown and rapidly changing flow of incoming requests—is studied. Critical modes of operation under big system work-loads are analyzed. The modified sliding scheduling method allows correcting the processing procedure in real time. A way of dynamic construction of a sequence of non-discriminating concurrent allocations of limited different-type resources between users with equal rights is proposed. A concept of normative maximal performance of the system processing one type of tasks in the single-user mode is introduced. Parametric guaranteed estimates are used to decompose tasks with respect to their type. Scheduling procedures according to which tasks that de facto require less computational costs receive the processing priority and are completed first of all are developed. © Pleiades Publishing, Ltd. 2015
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title_short	Control of resource-intensive computations under uncertainty. III. Dynamic concurrent resource allocation
url	https://dx.doi.org/10.1134/S1064230715010104
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E.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Control of resource-intensive computations under uncertainty. III. 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Control of resource-intensive computations under uncertainty. III. Dynamic concurrent resource allocation

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