Centralized QoS Routing Using Network Calculus for SDN-Based Streaming Media Networks

Streaming media transmission requires strict quality of service (QoS) parameters such as maximum delay and delay jitter. An effective streaming media routing algorithm is a key factor in ensuring QoS. The existing solution only considers a single parameter indicator in the performance parameters suc...
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Autor*in:	Sheng Zhu [verfasserIn] Zhen Sun [verfasserIn] Yong Lu [verfasserIn] Lianming Zhang [verfasserIn] Yehua Wei [verfasserIn] Geyong Min [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	SDN network calculus streaming media multi-constrained QoS centralized QoS routing

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 7(2019), Seite 146566-146576
Übergeordnetes Werk:	volume:7 ; year:2019 ; pages:146566-146576

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2019.2943518

Katalog-ID:	DOAJ047680148

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allfields	10.1109/ACCESS.2019.2943518 doi (DE-627)DOAJ047680148 (DE-599)DOAJc2bc361c5d1d42eb842b612a374ebbc2 DE-627 ger DE-627 rakwb eng TK1-9971 Sheng Zhu verfasserin aut Centralized QoS Routing Using Network Calculus for SDN-Based Streaming Media Networks 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Streaming media transmission requires strict quality of service (QoS) parameters such as maximum delay and delay jitter. An effective streaming media routing algorithm is a key factor in ensuring QoS. The existing solution only considers a single parameter indicator in the performance parameters such as bandwidth, delay, and utilization of the link, and fails to comprehensively measure the data flow in the network. It is not possible to comprehensively measure the relationship between the business attributes and the QoS parameters. Firstly, the deterministic upper bounds of QoS parameters in streaming media networks are solved by using network calculus theory, and the QoS parameters are normalized, and a multi-constrained QoS resource allocation model is established; the separation of control and forwarding planes is defined by using software-defined networking (SDN) to deploy the multi-constrained QoS resource allocation model in the control plane; the QoS routing system of streaming media network based on the SDN is designed and implemented, including flow table scheduling model, routing function, measurement and forwarding modules. In the routing function module of the SDN controller, a multi-constrained QoS routing algorithm based on network calculus is implemented. Experimental results show that the proposed multi-constrained QoS resource allocation model based on network calculus and the multi-constrained centralized QoS routing algorithm based on the SDN have good performance. SDN network calculus streaming media multi-constrained QoS centralized QoS routing Electrical engineering. Electronics. Nuclear engineering Zhen Sun verfasserin aut Yong Lu verfasserin aut Lianming Zhang verfasserin aut Yehua Wei verfasserin aut Geyong Min verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 146566-146576 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:146566-146576 https://doi.org/10.1109/ACCESS.2019.2943518 kostenfrei https://doaj.org/article/c2bc361c5d1d42eb842b612a374ebbc2 kostenfrei https://ieeexplore.ieee.org/document/8847422/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 146566-146576
spelling	10.1109/ACCESS.2019.2943518 doi (DE-627)DOAJ047680148 (DE-599)DOAJc2bc361c5d1d42eb842b612a374ebbc2 DE-627 ger DE-627 rakwb eng TK1-9971 Sheng Zhu verfasserin aut Centralized QoS Routing Using Network Calculus for SDN-Based Streaming Media Networks 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Streaming media transmission requires strict quality of service (QoS) parameters such as maximum delay and delay jitter. An effective streaming media routing algorithm is a key factor in ensuring QoS. The existing solution only considers a single parameter indicator in the performance parameters such as bandwidth, delay, and utilization of the link, and fails to comprehensively measure the data flow in the network. It is not possible to comprehensively measure the relationship between the business attributes and the QoS parameters. Firstly, the deterministic upper bounds of QoS parameters in streaming media networks are solved by using network calculus theory, and the QoS parameters are normalized, and a multi-constrained QoS resource allocation model is established; the separation of control and forwarding planes is defined by using software-defined networking (SDN) to deploy the multi-constrained QoS resource allocation model in the control plane; the QoS routing system of streaming media network based on the SDN is designed and implemented, including flow table scheduling model, routing function, measurement and forwarding modules. In the routing function module of the SDN controller, a multi-constrained QoS routing algorithm based on network calculus is implemented. Experimental results show that the proposed multi-constrained QoS resource allocation model based on network calculus and the multi-constrained centralized QoS routing algorithm based on the SDN have good performance. SDN network calculus streaming media multi-constrained QoS centralized QoS routing Electrical engineering. Electronics. Nuclear engineering Zhen Sun verfasserin aut Yong Lu verfasserin aut Lianming Zhang verfasserin aut Yehua Wei verfasserin aut Geyong Min verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 146566-146576 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:146566-146576 https://doi.org/10.1109/ACCESS.2019.2943518 kostenfrei https://doaj.org/article/c2bc361c5d1d42eb842b612a374ebbc2 kostenfrei https://ieeexplore.ieee.org/document/8847422/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 146566-146576
allfields_unstemmed	10.1109/ACCESS.2019.2943518 doi (DE-627)DOAJ047680148 (DE-599)DOAJc2bc361c5d1d42eb842b612a374ebbc2 DE-627 ger DE-627 rakwb eng TK1-9971 Sheng Zhu verfasserin aut Centralized QoS Routing Using Network Calculus for SDN-Based Streaming Media Networks 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Streaming media transmission requires strict quality of service (QoS) parameters such as maximum delay and delay jitter. An effective streaming media routing algorithm is a key factor in ensuring QoS. The existing solution only considers a single parameter indicator in the performance parameters such as bandwidth, delay, and utilization of the link, and fails to comprehensively measure the data flow in the network. It is not possible to comprehensively measure the relationship between the business attributes and the QoS parameters. Firstly, the deterministic upper bounds of QoS parameters in streaming media networks are solved by using network calculus theory, and the QoS parameters are normalized, and a multi-constrained QoS resource allocation model is established; the separation of control and forwarding planes is defined by using software-defined networking (SDN) to deploy the multi-constrained QoS resource allocation model in the control plane; the QoS routing system of streaming media network based on the SDN is designed and implemented, including flow table scheduling model, routing function, measurement and forwarding modules. In the routing function module of the SDN controller, a multi-constrained QoS routing algorithm based on network calculus is implemented. Experimental results show that the proposed multi-constrained QoS resource allocation model based on network calculus and the multi-constrained centralized QoS routing algorithm based on the SDN have good performance. SDN network calculus streaming media multi-constrained QoS centralized QoS routing Electrical engineering. Electronics. Nuclear engineering Zhen Sun verfasserin aut Yong Lu verfasserin aut Lianming Zhang verfasserin aut Yehua Wei verfasserin aut Geyong Min verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 146566-146576 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:146566-146576 https://doi.org/10.1109/ACCESS.2019.2943518 kostenfrei https://doaj.org/article/c2bc361c5d1d42eb842b612a374ebbc2 kostenfrei https://ieeexplore.ieee.org/document/8847422/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 146566-146576
allfieldsGer	10.1109/ACCESS.2019.2943518 doi (DE-627)DOAJ047680148 (DE-599)DOAJc2bc361c5d1d42eb842b612a374ebbc2 DE-627 ger DE-627 rakwb eng TK1-9971 Sheng Zhu verfasserin aut Centralized QoS Routing Using Network Calculus for SDN-Based Streaming Media Networks 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Streaming media transmission requires strict quality of service (QoS) parameters such as maximum delay and delay jitter. An effective streaming media routing algorithm is a key factor in ensuring QoS. The existing solution only considers a single parameter indicator in the performance parameters such as bandwidth, delay, and utilization of the link, and fails to comprehensively measure the data flow in the network. It is not possible to comprehensively measure the relationship between the business attributes and the QoS parameters. Firstly, the deterministic upper bounds of QoS parameters in streaming media networks are solved by using network calculus theory, and the QoS parameters are normalized, and a multi-constrained QoS resource allocation model is established; the separation of control and forwarding planes is defined by using software-defined networking (SDN) to deploy the multi-constrained QoS resource allocation model in the control plane; the QoS routing system of streaming media network based on the SDN is designed and implemented, including flow table scheduling model, routing function, measurement and forwarding modules. In the routing function module of the SDN controller, a multi-constrained QoS routing algorithm based on network calculus is implemented. Experimental results show that the proposed multi-constrained QoS resource allocation model based on network calculus and the multi-constrained centralized QoS routing algorithm based on the SDN have good performance. SDN network calculus streaming media multi-constrained QoS centralized QoS routing Electrical engineering. Electronics. Nuclear engineering Zhen Sun verfasserin aut Yong Lu verfasserin aut Lianming Zhang verfasserin aut Yehua Wei verfasserin aut Geyong Min verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 146566-146576 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:146566-146576 https://doi.org/10.1109/ACCESS.2019.2943518 kostenfrei https://doaj.org/article/c2bc361c5d1d42eb842b612a374ebbc2 kostenfrei https://ieeexplore.ieee.org/document/8847422/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 146566-146576
allfieldsSound	10.1109/ACCESS.2019.2943518 doi (DE-627)DOAJ047680148 (DE-599)DOAJc2bc361c5d1d42eb842b612a374ebbc2 DE-627 ger DE-627 rakwb eng TK1-9971 Sheng Zhu verfasserin aut Centralized QoS Routing Using Network Calculus for SDN-Based Streaming Media Networks 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Streaming media transmission requires strict quality of service (QoS) parameters such as maximum delay and delay jitter. An effective streaming media routing algorithm is a key factor in ensuring QoS. The existing solution only considers a single parameter indicator in the performance parameters such as bandwidth, delay, and utilization of the link, and fails to comprehensively measure the data flow in the network. It is not possible to comprehensively measure the relationship between the business attributes and the QoS parameters. Firstly, the deterministic upper bounds of QoS parameters in streaming media networks are solved by using network calculus theory, and the QoS parameters are normalized, and a multi-constrained QoS resource allocation model is established; the separation of control and forwarding planes is defined by using software-defined networking (SDN) to deploy the multi-constrained QoS resource allocation model in the control plane; the QoS routing system of streaming media network based on the SDN is designed and implemented, including flow table scheduling model, routing function, measurement and forwarding modules. In the routing function module of the SDN controller, a multi-constrained QoS routing algorithm based on network calculus is implemented. Experimental results show that the proposed multi-constrained QoS resource allocation model based on network calculus and the multi-constrained centralized QoS routing algorithm based on the SDN have good performance. SDN network calculus streaming media multi-constrained QoS centralized QoS routing Electrical engineering. Electronics. Nuclear engineering Zhen Sun verfasserin aut Yong Lu verfasserin aut Lianming Zhang verfasserin aut Yehua Wei verfasserin aut Geyong Min verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 146566-146576 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:146566-146576 https://doi.org/10.1109/ACCESS.2019.2943518 kostenfrei https://doaj.org/article/c2bc361c5d1d42eb842b612a374ebbc2 kostenfrei https://ieeexplore.ieee.org/document/8847422/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 146566-146576
language	English
source	In IEEE Access 7(2019), Seite 146566-146576 volume:7 year:2019 pages:146566-146576
sourceStr	In IEEE Access 7(2019), Seite 146566-146576 volume:7 year:2019 pages:146566-146576
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	SDN network calculus streaming media multi-constrained QoS centralized QoS routing Electrical engineering. Electronics. Nuclear engineering
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container_title	IEEE Access
authorswithroles_txt_mv	Sheng Zhu @@aut@@ Zhen Sun @@aut@@ Yong Lu @@aut@@ Lianming Zhang @@aut@@ Yehua Wei @@aut@@ Geyong Min @@aut@@
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callnumber-first	T - Technology
author	Sheng Zhu
spellingShingle	Sheng Zhu misc TK1-9971 misc SDN misc network calculus misc streaming media misc multi-constrained QoS misc centralized QoS routing misc Electrical engineering. Electronics. Nuclear engineering Centralized QoS Routing Using Network Calculus for SDN-Based Streaming Media Networks
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topic_title	TK1-9971 Centralized QoS Routing Using Network Calculus for SDN-Based Streaming Media Networks SDN network calculus streaming media multi-constrained QoS centralized QoS routing
topic	misc TK1-9971 misc SDN misc network calculus misc streaming media misc multi-constrained QoS misc centralized QoS routing misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc SDN misc network calculus misc streaming media misc multi-constrained QoS misc centralized QoS routing misc Electrical engineering. Electronics. Nuclear engineering
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title	Centralized QoS Routing Using Network Calculus for SDN-Based Streaming Media Networks
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title_sort	centralized qos routing using network calculus for sdn-based streaming media networks
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title_auth	Centralized QoS Routing Using Network Calculus for SDN-Based Streaming Media Networks
abstract	Streaming media transmission requires strict quality of service (QoS) parameters such as maximum delay and delay jitter. An effective streaming media routing algorithm is a key factor in ensuring QoS. The existing solution only considers a single parameter indicator in the performance parameters such as bandwidth, delay, and utilization of the link, and fails to comprehensively measure the data flow in the network. It is not possible to comprehensively measure the relationship between the business attributes and the QoS parameters. Firstly, the deterministic upper bounds of QoS parameters in streaming media networks are solved by using network calculus theory, and the QoS parameters are normalized, and a multi-constrained QoS resource allocation model is established; the separation of control and forwarding planes is defined by using software-defined networking (SDN) to deploy the multi-constrained QoS resource allocation model in the control plane; the QoS routing system of streaming media network based on the SDN is designed and implemented, including flow table scheduling model, routing function, measurement and forwarding modules. In the routing function module of the SDN controller, a multi-constrained QoS routing algorithm based on network calculus is implemented. Experimental results show that the proposed multi-constrained QoS resource allocation model based on network calculus and the multi-constrained centralized QoS routing algorithm based on the SDN have good performance.
abstractGer	Streaming media transmission requires strict quality of service (QoS) parameters such as maximum delay and delay jitter. An effective streaming media routing algorithm is a key factor in ensuring QoS. The existing solution only considers a single parameter indicator in the performance parameters such as bandwidth, delay, and utilization of the link, and fails to comprehensively measure the data flow in the network. It is not possible to comprehensively measure the relationship between the business attributes and the QoS parameters. Firstly, the deterministic upper bounds of QoS parameters in streaming media networks are solved by using network calculus theory, and the QoS parameters are normalized, and a multi-constrained QoS resource allocation model is established; the separation of control and forwarding planes is defined by using software-defined networking (SDN) to deploy the multi-constrained QoS resource allocation model in the control plane; the QoS routing system of streaming media network based on the SDN is designed and implemented, including flow table scheduling model, routing function, measurement and forwarding modules. In the routing function module of the SDN controller, a multi-constrained QoS routing algorithm based on network calculus is implemented. Experimental results show that the proposed multi-constrained QoS resource allocation model based on network calculus and the multi-constrained centralized QoS routing algorithm based on the SDN have good performance.
abstract_unstemmed	Streaming media transmission requires strict quality of service (QoS) parameters such as maximum delay and delay jitter. An effective streaming media routing algorithm is a key factor in ensuring QoS. The existing solution only considers a single parameter indicator in the performance parameters such as bandwidth, delay, and utilization of the link, and fails to comprehensively measure the data flow in the network. It is not possible to comprehensively measure the relationship between the business attributes and the QoS parameters. Firstly, the deterministic upper bounds of QoS parameters in streaming media networks are solved by using network calculus theory, and the QoS parameters are normalized, and a multi-constrained QoS resource allocation model is established; the separation of control and forwarding planes is defined by using software-defined networking (SDN) to deploy the multi-constrained QoS resource allocation model in the control plane; the QoS routing system of streaming media network based on the SDN is designed and implemented, including flow table scheduling model, routing function, measurement and forwarding modules. In the routing function module of the SDN controller, a multi-constrained QoS routing algorithm based on network calculus is implemented. Experimental results show that the proposed multi-constrained QoS resource allocation model based on network calculus and the multi-constrained centralized QoS routing algorithm based on the SDN have good performance.
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title_short	Centralized QoS Routing Using Network Calculus for SDN-Based Streaming Media Networks
url	https://doi.org/10.1109/ACCESS.2019.2943518 https://doaj.org/article/c2bc361c5d1d42eb842b612a374ebbc2 https://ieeexplore.ieee.org/document/8847422/ https://doaj.org/toc/2169-3536
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