A methodology to enable QoS provision on InfiniBand hardware
Abstract Modern high-speed interconnection networks include support for the provision of quality of service (QoS) to the applications. The output scheduling algorithm plays an important role in the QoS provision, choosing the packets to be delivered from the output buffers. InfiniBand, one of the mo...
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| Autor*in: |
Cano-Cano, Javier [verfasserIn] Andújar, Francisco J. [verfasserIn] Escudero-Sahuquillo, Jesús [verfasserIn] Alfaro-Cortés, Francisco J. [verfasserIn] Sánchez, José L. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 |
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| Übergeordnetes Werk: |
Enthalten in: The journal of supercomputing - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987, 77(2021), 9 vom: 22. Feb., Seite 9934-9946 |
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| Übergeordnetes Werk: |
volume:77 ; year:2021 ; number:9 ; day:22 ; month:02 ; pages:9934-9946 |
| Links: |
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| DOI / URN: |
10.1007/s11227-021-03667-x |
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SPR044842678 |
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| 520 | |a Abstract Modern high-speed interconnection networks include support for the provision of quality of service (QoS) to the applications. The output scheduling algorithm plays an important role in the QoS provision, choosing the packets to be delivered from the output buffers. InfiniBand, one of the most used interconnection technologies, includes a table-based scheduler composed of a high- and a low-priority tables, and a counter limiting the number of high priority traffic flows that may be delivered before giving the opportunity to low priority ones. Therefore, the performance of the traffic flows in the network largely depends on the table configuration since the switch scheduler uses this information to allow/deny packets being forwarded, according to the QoS provision scheme. As far as we know, there is no study on the influence of these configurations to the traffic flows performance. In this paper, we present an offline analysis tool to accurately determine the expected end-to-end latency and bandwidth of the traffic flows in an InfiniBand-based network using the information contained in the high- and low-priority tables. Moreover, we present a methodology to aid network administrators in configuring the QoS provision in a real InfiniBand cluster. Finally, we evaluate the analysis tool, comparing its results with those obtained from a real cluster and from simulation. | ||
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| 650 | 4 | |a High-performance networks |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Quality of service |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a InfiniBand |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Performance evaluation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Scheduling algorithms |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Andújar, Francisco J. |e verfasserin |4 aut | |
| 700 | 1 | |a Escudero-Sahuquillo, Jesús |e verfasserin |4 aut | |
| 700 | 1 | |a Alfaro-Cortés, Francisco J. |e verfasserin |4 aut | |
| 700 | 1 | |a Sánchez, José L. |e verfasserin |4 aut | |
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10.1007/s11227-021-03667-x doi (DE-627)SPR044842678 (SPR)s11227-021-03667-x-e DE-627 ger DE-627 rakwb eng 004 620 ASE 54.20 bkl Cano-Cano, Javier verfasserin aut A methodology to enable QoS provision on InfiniBand hardware 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 Abstract Modern high-speed interconnection networks include support for the provision of quality of service (QoS) to the applications. The output scheduling algorithm plays an important role in the QoS provision, choosing the packets to be delivered from the output buffers. InfiniBand, one of the most used interconnection technologies, includes a table-based scheduler composed of a high- and a low-priority tables, and a counter limiting the number of high priority traffic flows that may be delivered before giving the opportunity to low priority ones. Therefore, the performance of the traffic flows in the network largely depends on the table configuration since the switch scheduler uses this information to allow/deny packets being forwarded, according to the QoS provision scheme. As far as we know, there is no study on the influence of these configurations to the traffic flows performance. In this paper, we present an offline analysis tool to accurately determine the expected end-to-end latency and bandwidth of the traffic flows in an InfiniBand-based network using the information contained in the high- and low-priority tables. Moreover, we present a methodology to aid network administrators in configuring the QoS provision in a real InfiniBand cluster. Finally, we evaluate the analysis tool, comparing its results with those obtained from a real cluster and from simulation. Analysis tool (dpeaa)DE-He213 High-performance networks (dpeaa)DE-He213 Quality of service (dpeaa)DE-He213 InfiniBand (dpeaa)DE-He213 Performance evaluation (dpeaa)DE-He213 Scheduling algorithms (dpeaa)DE-He213 Andújar, Francisco J. verfasserin aut Escudero-Sahuquillo, Jesús verfasserin aut Alfaro-Cortés, Francisco J. verfasserin aut Sánchez, José L. verfasserin aut Enthalten in The journal of supercomputing Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 77(2021), 9 vom: 22. Feb., Seite 9934-9946 (DE-627)271350202 (DE-600)1479917-0 1573-0484 nnns volume:77 year:2021 number:9 day:22 month:02 pages:9934-9946 https://dx.doi.org/10.1007/s11227-021-03667-x 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_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_206 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.20 ASE AR 77 2021 9 22 02 9934-9946 |
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10.1007/s11227-021-03667-x doi (DE-627)SPR044842678 (SPR)s11227-021-03667-x-e DE-627 ger DE-627 rakwb eng 004 620 ASE 54.20 bkl Cano-Cano, Javier verfasserin aut A methodology to enable QoS provision on InfiniBand hardware 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 Abstract Modern high-speed interconnection networks include support for the provision of quality of service (QoS) to the applications. The output scheduling algorithm plays an important role in the QoS provision, choosing the packets to be delivered from the output buffers. InfiniBand, one of the most used interconnection technologies, includes a table-based scheduler composed of a high- and a low-priority tables, and a counter limiting the number of high priority traffic flows that may be delivered before giving the opportunity to low priority ones. Therefore, the performance of the traffic flows in the network largely depends on the table configuration since the switch scheduler uses this information to allow/deny packets being forwarded, according to the QoS provision scheme. As far as we know, there is no study on the influence of these configurations to the traffic flows performance. In this paper, we present an offline analysis tool to accurately determine the expected end-to-end latency and bandwidth of the traffic flows in an InfiniBand-based network using the information contained in the high- and low-priority tables. Moreover, we present a methodology to aid network administrators in configuring the QoS provision in a real InfiniBand cluster. Finally, we evaluate the analysis tool, comparing its results with those obtained from a real cluster and from simulation. Analysis tool (dpeaa)DE-He213 High-performance networks (dpeaa)DE-He213 Quality of service (dpeaa)DE-He213 InfiniBand (dpeaa)DE-He213 Performance evaluation (dpeaa)DE-He213 Scheduling algorithms (dpeaa)DE-He213 Andújar, Francisco J. verfasserin aut Escudero-Sahuquillo, Jesús verfasserin aut Alfaro-Cortés, Francisco J. verfasserin aut Sánchez, José L. verfasserin aut Enthalten in The journal of supercomputing Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 77(2021), 9 vom: 22. Feb., Seite 9934-9946 (DE-627)271350202 (DE-600)1479917-0 1573-0484 nnns volume:77 year:2021 number:9 day:22 month:02 pages:9934-9946 https://dx.doi.org/10.1007/s11227-021-03667-x 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_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_206 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.20 ASE AR 77 2021 9 22 02 9934-9946 |
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10.1007/s11227-021-03667-x doi (DE-627)SPR044842678 (SPR)s11227-021-03667-x-e DE-627 ger DE-627 rakwb eng 004 620 ASE 54.20 bkl Cano-Cano, Javier verfasserin aut A methodology to enable QoS provision on InfiniBand hardware 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 Abstract Modern high-speed interconnection networks include support for the provision of quality of service (QoS) to the applications. The output scheduling algorithm plays an important role in the QoS provision, choosing the packets to be delivered from the output buffers. InfiniBand, one of the most used interconnection technologies, includes a table-based scheduler composed of a high- and a low-priority tables, and a counter limiting the number of high priority traffic flows that may be delivered before giving the opportunity to low priority ones. Therefore, the performance of the traffic flows in the network largely depends on the table configuration since the switch scheduler uses this information to allow/deny packets being forwarded, according to the QoS provision scheme. As far as we know, there is no study on the influence of these configurations to the traffic flows performance. In this paper, we present an offline analysis tool to accurately determine the expected end-to-end latency and bandwidth of the traffic flows in an InfiniBand-based network using the information contained in the high- and low-priority tables. Moreover, we present a methodology to aid network administrators in configuring the QoS provision in a real InfiniBand cluster. Finally, we evaluate the analysis tool, comparing its results with those obtained from a real cluster and from simulation. Analysis tool (dpeaa)DE-He213 High-performance networks (dpeaa)DE-He213 Quality of service (dpeaa)DE-He213 InfiniBand (dpeaa)DE-He213 Performance evaluation (dpeaa)DE-He213 Scheduling algorithms (dpeaa)DE-He213 Andújar, Francisco J. verfasserin aut Escudero-Sahuquillo, Jesús verfasserin aut Alfaro-Cortés, Francisco J. verfasserin aut Sánchez, José L. verfasserin aut Enthalten in The journal of supercomputing Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 77(2021), 9 vom: 22. Feb., Seite 9934-9946 (DE-627)271350202 (DE-600)1479917-0 1573-0484 nnns volume:77 year:2021 number:9 day:22 month:02 pages:9934-9946 https://dx.doi.org/10.1007/s11227-021-03667-x 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_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_206 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.20 ASE AR 77 2021 9 22 02 9934-9946 |
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10.1007/s11227-021-03667-x doi (DE-627)SPR044842678 (SPR)s11227-021-03667-x-e DE-627 ger DE-627 rakwb eng 004 620 ASE 54.20 bkl Cano-Cano, Javier verfasserin aut A methodology to enable QoS provision on InfiniBand hardware 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 Abstract Modern high-speed interconnection networks include support for the provision of quality of service (QoS) to the applications. The output scheduling algorithm plays an important role in the QoS provision, choosing the packets to be delivered from the output buffers. InfiniBand, one of the most used interconnection technologies, includes a table-based scheduler composed of a high- and a low-priority tables, and a counter limiting the number of high priority traffic flows that may be delivered before giving the opportunity to low priority ones. Therefore, the performance of the traffic flows in the network largely depends on the table configuration since the switch scheduler uses this information to allow/deny packets being forwarded, according to the QoS provision scheme. As far as we know, there is no study on the influence of these configurations to the traffic flows performance. In this paper, we present an offline analysis tool to accurately determine the expected end-to-end latency and bandwidth of the traffic flows in an InfiniBand-based network using the information contained in the high- and low-priority tables. Moreover, we present a methodology to aid network administrators in configuring the QoS provision in a real InfiniBand cluster. Finally, we evaluate the analysis tool, comparing its results with those obtained from a real cluster and from simulation. Analysis tool (dpeaa)DE-He213 High-performance networks (dpeaa)DE-He213 Quality of service (dpeaa)DE-He213 InfiniBand (dpeaa)DE-He213 Performance evaluation (dpeaa)DE-He213 Scheduling algorithms (dpeaa)DE-He213 Andújar, Francisco J. verfasserin aut Escudero-Sahuquillo, Jesús verfasserin aut Alfaro-Cortés, Francisco J. verfasserin aut Sánchez, José L. verfasserin aut Enthalten in The journal of supercomputing Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 77(2021), 9 vom: 22. Feb., Seite 9934-9946 (DE-627)271350202 (DE-600)1479917-0 1573-0484 nnns volume:77 year:2021 number:9 day:22 month:02 pages:9934-9946 https://dx.doi.org/10.1007/s11227-021-03667-x 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_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_206 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.20 ASE AR 77 2021 9 22 02 9934-9946 |
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Cano-Cano, Javier @@aut@@ Andújar, Francisco J. @@aut@@ Escudero-Sahuquillo, Jesús @@aut@@ Alfaro-Cortés, Francisco J. @@aut@@ Sánchez, José L. @@aut@@ |
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The output scheduling algorithm plays an important role in the QoS provision, choosing the packets to be delivered from the output buffers. InfiniBand, one of the most used interconnection technologies, includes a table-based scheduler composed of a high- and a low-priority tables, and a counter limiting the number of high priority traffic flows that may be delivered before giving the opportunity to low priority ones. Therefore, the performance of the traffic flows in the network largely depends on the table configuration since the switch scheduler uses this information to allow/deny packets being forwarded, according to the QoS provision scheme. As far as we know, there is no study on the influence of these configurations to the traffic flows performance. 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Cano-Cano, Javier |
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Cano-Cano, Javier ddc 004 bkl 54.20 misc Analysis tool misc High-performance networks misc Quality of service misc InfiniBand misc Performance evaluation misc Scheduling algorithms A methodology to enable QoS provision on InfiniBand hardware |
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004 620 ASE 54.20 bkl A methodology to enable QoS provision on InfiniBand hardware Analysis tool (dpeaa)DE-He213 High-performance networks (dpeaa)DE-He213 Quality of service (dpeaa)DE-He213 InfiniBand (dpeaa)DE-He213 Performance evaluation (dpeaa)DE-He213 Scheduling algorithms (dpeaa)DE-He213 |
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ddc 004 bkl 54.20 misc Analysis tool misc High-performance networks misc Quality of service misc InfiniBand misc Performance evaluation misc Scheduling algorithms |
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methodology to enable qos provision on infiniband hardware |
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A methodology to enable QoS provision on InfiniBand hardware |
| abstract |
Abstract Modern high-speed interconnection networks include support for the provision of quality of service (QoS) to the applications. The output scheduling algorithm plays an important role in the QoS provision, choosing the packets to be delivered from the output buffers. InfiniBand, one of the most used interconnection technologies, includes a table-based scheduler composed of a high- and a low-priority tables, and a counter limiting the number of high priority traffic flows that may be delivered before giving the opportunity to low priority ones. Therefore, the performance of the traffic flows in the network largely depends on the table configuration since the switch scheduler uses this information to allow/deny packets being forwarded, according to the QoS provision scheme. As far as we know, there is no study on the influence of these configurations to the traffic flows performance. In this paper, we present an offline analysis tool to accurately determine the expected end-to-end latency and bandwidth of the traffic flows in an InfiniBand-based network using the information contained in the high- and low-priority tables. Moreover, we present a methodology to aid network administrators in configuring the QoS provision in a real InfiniBand cluster. Finally, we evaluate the analysis tool, comparing its results with those obtained from a real cluster and from simulation. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 |
| abstractGer |
Abstract Modern high-speed interconnection networks include support for the provision of quality of service (QoS) to the applications. The output scheduling algorithm plays an important role in the QoS provision, choosing the packets to be delivered from the output buffers. InfiniBand, one of the most used interconnection technologies, includes a table-based scheduler composed of a high- and a low-priority tables, and a counter limiting the number of high priority traffic flows that may be delivered before giving the opportunity to low priority ones. Therefore, the performance of the traffic flows in the network largely depends on the table configuration since the switch scheduler uses this information to allow/deny packets being forwarded, according to the QoS provision scheme. As far as we know, there is no study on the influence of these configurations to the traffic flows performance. In this paper, we present an offline analysis tool to accurately determine the expected end-to-end latency and bandwidth of the traffic flows in an InfiniBand-based network using the information contained in the high- and low-priority tables. Moreover, we present a methodology to aid network administrators in configuring the QoS provision in a real InfiniBand cluster. Finally, we evaluate the analysis tool, comparing its results with those obtained from a real cluster and from simulation. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 |
| abstract_unstemmed |
Abstract Modern high-speed interconnection networks include support for the provision of quality of service (QoS) to the applications. The output scheduling algorithm plays an important role in the QoS provision, choosing the packets to be delivered from the output buffers. InfiniBand, one of the most used interconnection technologies, includes a table-based scheduler composed of a high- and a low-priority tables, and a counter limiting the number of high priority traffic flows that may be delivered before giving the opportunity to low priority ones. Therefore, the performance of the traffic flows in the network largely depends on the table configuration since the switch scheduler uses this information to allow/deny packets being forwarded, according to the QoS provision scheme. As far as we know, there is no study on the influence of these configurations to the traffic flows performance. In this paper, we present an offline analysis tool to accurately determine the expected end-to-end latency and bandwidth of the traffic flows in an InfiniBand-based network using the information contained in the high- and low-priority tables. Moreover, we present a methodology to aid network administrators in configuring the QoS provision in a real InfiniBand cluster. Finally, we evaluate the analysis tool, comparing its results with those obtained from a real cluster and from simulation. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 |
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| title_short |
A methodology to enable QoS provision on InfiniBand hardware |
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https://dx.doi.org/10.1007/s11227-021-03667-x |
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| author2 |
Andújar, Francisco J. Escudero-Sahuquillo, Jesús Alfaro-Cortés, Francisco J. Sánchez, José L. |
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Andújar, Francisco J. Escudero-Sahuquillo, Jesús Alfaro-Cortés, Francisco J. Sánchez, José L. |
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10.1007/s11227-021-03667-x |
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| score |
7.402793 |