Dimensioning of store-and-transfer WDM networks with stratified ROADM node

The so called Store-and-Transfer WDM Network (STWN) can store data in source storage and provision lightpaths at an optimal time when wavelengths are clear of conflicts. Consequently, blocking of requests can be decreased and resource utilization of the network can be improved. If traffic can be classified into delay-sensitive packet flows and deadline-constrained large data transfers, we can use a stratified node architecture to reduce cost of STWN node by reducing port count of optical and electronic switches. In this work, we investigate dimensioning of a network of flexible grid reconfigurable optical add/drop multiplexers and compare the result with that obtain by dimensioning of STWN. We propose a two-step method to determine the amount of spectrum required to satisfy the demand of large data transfers, which is given as a load matrix with a deadline and blocking rate. We also obtain the overall utilization over all links. The method firstly uses Markov chain to model variable bandwidth allocation over a lightpath and searches for amount of required spectrum of all source-destination pairs, and secondly optimizes routing and spectrum assignment for the matrix of amount of required spectrum to minimize maximum amount of spectrum used over each link. Numerical results show the following with all numbers given as absolute values: If bandwidth allocation method Min is used, the utilization can reach 0.7 and the amount of required spectrum is 30% more than that required by STWN. If bandwidth allocation method Dyna is used, the utilization can reach 0.9 and the amount of required spectrum is similar to that required by STWN. Also, under the same load, if blocking increases from 0.001 to 0.01, the amount of required spectrum decreases and the utilization increases 0.08, which denotes over-provisioning of spectrum and allowing preemption of spectrum during hours of peak traffic can effectively decrease blocking. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Feng, Da [verfasserIn] Sun, Weiqiang [verfasserIn] Hu, Weisheng [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Large data transfer Advance Reservation WDM networks Deadline-driven scheduled traffic model Performance analysis

Übergeordnetes Werk:	Enthalten in: Optical switching and networking - Amsterdam : Elsevier, 2005, 31, Seite 100-113
Übergeordnetes Werk:	volume:31 ; pages:100-113

DOI / URN:	10.1016/j.osn.2018.09.004

Katalog-ID:	ELV001135619

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024	7		\|a 10.1016/j.osn.2018.09.004 \|2 doi
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100	1		\|a Feng, Da \|e verfasserin \|0 (orcid)0000-0002-9062-2932 \|4 aut
245	1	0	\|a Dimensioning of store-and-transfer WDM networks with stratified ROADM node
264		1	\|c 2018
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520			\|a The so called Store-and-Transfer WDM Network (STWN) can store data in source storage and provision lightpaths at an optimal time when wavelengths are clear of conflicts. Consequently, blocking of requests can be decreased and resource utilization of the network can be improved. If traffic can be classified into delay-sensitive packet flows and deadline-constrained large data transfers, we can use a stratified node architecture to reduce cost of STWN node by reducing port count of optical and electronic switches. In this work, we investigate dimensioning of a network of flexible grid reconfigurable optical add/drop multiplexers and compare the result with that obtain by dimensioning of STWN. We propose a two-step method to determine the amount of spectrum required to satisfy the demand of large data transfers, which is given as a load matrix with a deadline and blocking rate. We also obtain the overall utilization over all links. The method firstly uses Markov chain to model variable bandwidth allocation over a lightpath and searches for amount of required spectrum of all source-destination pairs, and secondly optimizes routing and spectrum assignment for the matrix of amount of required spectrum to minimize maximum amount of spectrum used over each link. Numerical results show the following with all numbers given as absolute values: If bandwidth allocation method Min is used, the utilization can reach 0.7 and the amount of required spectrum is 30% more than that required by STWN. If bandwidth allocation method Dyna is used, the utilization can reach 0.9 and the amount of required spectrum is similar to that required by STWN. Also, under the same load, if blocking increases from 0.001 to 0.01, the amount of required spectrum decreases and the utilization increases 0.08, which denotes over-provisioning of spectrum and allowing preemption of spectrum during hours of peak traffic can effectively decrease blocking.
650		4	\|a Large data transfer
650		4	\|a Advance Reservation
650		4	\|a WDM networks
650		4	\|a Deadline-driven scheduled traffic model
650		4	\|a Performance analysis
700	1		\|a Sun, Weiqiang \|e verfasserin \|4 aut
700	1		\|a Hu, Weisheng \|e verfasserin \|0 (orcid)0000-0002-6168-2688 \|4 aut
773	0	8	\|i Enthalten in \|t Optical switching and networking \|d Amsterdam : Elsevier, 2005 \|g 31, Seite 100-113 \|h Online-Ressource \|w (DE-627)481275304 \|w (DE-600)2179455-8 \|w (DE-576)259486531 \|x 1872-9770 \|7 nnns
773	1	8	\|g volume:31 \|g pages:100-113
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951			\|a AR
952			\|d 31 \|h 100-113

Indexfelder

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matchkey_str	article:18729770:2018----::iesoigftradrnfrdntokwtsr
hierarchy_sort_str	2018
publishDate	2018
allfields	10.1016/j.osn.2018.09.004 doi (DE-627)ELV001135619 (ELSEVIER)S1573-4277(18)30001-8 DE-627 ger DE-627 rda eng 004 DE-600 Feng, Da verfasserin (orcid)0000-0002-9062-2932 aut Dimensioning of store-and-transfer WDM networks with stratified ROADM node 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The so called Store-and-Transfer WDM Network (STWN) can store data in source storage and provision lightpaths at an optimal time when wavelengths are clear of conflicts. Consequently, blocking of requests can be decreased and resource utilization of the network can be improved. If traffic can be classified into delay-sensitive packet flows and deadline-constrained large data transfers, we can use a stratified node architecture to reduce cost of STWN node by reducing port count of optical and electronic switches. In this work, we investigate dimensioning of a network of flexible grid reconfigurable optical add/drop multiplexers and compare the result with that obtain by dimensioning of STWN. We propose a two-step method to determine the amount of spectrum required to satisfy the demand of large data transfers, which is given as a load matrix with a deadline and blocking rate. We also obtain the overall utilization over all links. The method firstly uses Markov chain to model variable bandwidth allocation over a lightpath and searches for amount of required spectrum of all source-destination pairs, and secondly optimizes routing and spectrum assignment for the matrix of amount of required spectrum to minimize maximum amount of spectrum used over each link. Numerical results show the following with all numbers given as absolute values: If bandwidth allocation method Min is used, the utilization can reach 0.7 and the amount of required spectrum is 30% more than that required by STWN. If bandwidth allocation method Dyna is used, the utilization can reach 0.9 and the amount of required spectrum is similar to that required by STWN. Also, under the same load, if blocking increases from 0.001 to 0.01, the amount of required spectrum decreases and the utilization increases 0.08, which denotes over-provisioning of spectrum and allowing preemption of spectrum during hours of peak traffic can effectively decrease blocking. Large data transfer Advance Reservation WDM networks Deadline-driven scheduled traffic model Performance analysis Sun, Weiqiang verfasserin aut Hu, Weisheng verfasserin (orcid)0000-0002-6168-2688 aut Enthalten in Optical switching and networking Amsterdam : Elsevier, 2005 31, Seite 100-113 Online-Ressource (DE-627)481275304 (DE-600)2179455-8 (DE-576)259486531 1872-9770 nnns volume:31 pages:100-113 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 AR 31 100-113
spelling	10.1016/j.osn.2018.09.004 doi (DE-627)ELV001135619 (ELSEVIER)S1573-4277(18)30001-8 DE-627 ger DE-627 rda eng 004 DE-600 Feng, Da verfasserin (orcid)0000-0002-9062-2932 aut Dimensioning of store-and-transfer WDM networks with stratified ROADM node 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The so called Store-and-Transfer WDM Network (STWN) can store data in source storage and provision lightpaths at an optimal time when wavelengths are clear of conflicts. Consequently, blocking of requests can be decreased and resource utilization of the network can be improved. If traffic can be classified into delay-sensitive packet flows and deadline-constrained large data transfers, we can use a stratified node architecture to reduce cost of STWN node by reducing port count of optical and electronic switches. In this work, we investigate dimensioning of a network of flexible grid reconfigurable optical add/drop multiplexers and compare the result with that obtain by dimensioning of STWN. We propose a two-step method to determine the amount of spectrum required to satisfy the demand of large data transfers, which is given as a load matrix with a deadline and blocking rate. We also obtain the overall utilization over all links. The method firstly uses Markov chain to model variable bandwidth allocation over a lightpath and searches for amount of required spectrum of all source-destination pairs, and secondly optimizes routing and spectrum assignment for the matrix of amount of required spectrum to minimize maximum amount of spectrum used over each link. Numerical results show the following with all numbers given as absolute values: If bandwidth allocation method Min is used, the utilization can reach 0.7 and the amount of required spectrum is 30% more than that required by STWN. If bandwidth allocation method Dyna is used, the utilization can reach 0.9 and the amount of required spectrum is similar to that required by STWN. Also, under the same load, if blocking increases from 0.001 to 0.01, the amount of required spectrum decreases and the utilization increases 0.08, which denotes over-provisioning of spectrum and allowing preemption of spectrum during hours of peak traffic can effectively decrease blocking. Large data transfer Advance Reservation WDM networks Deadline-driven scheduled traffic model Performance analysis Sun, Weiqiang verfasserin aut Hu, Weisheng verfasserin (orcid)0000-0002-6168-2688 aut Enthalten in Optical switching and networking Amsterdam : Elsevier, 2005 31, Seite 100-113 Online-Ressource (DE-627)481275304 (DE-600)2179455-8 (DE-576)259486531 1872-9770 nnns volume:31 pages:100-113 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 AR 31 100-113
allfields_unstemmed	10.1016/j.osn.2018.09.004 doi (DE-627)ELV001135619 (ELSEVIER)S1573-4277(18)30001-8 DE-627 ger DE-627 rda eng 004 DE-600 Feng, Da verfasserin (orcid)0000-0002-9062-2932 aut Dimensioning of store-and-transfer WDM networks with stratified ROADM node 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The so called Store-and-Transfer WDM Network (STWN) can store data in source storage and provision lightpaths at an optimal time when wavelengths are clear of conflicts. Consequently, blocking of requests can be decreased and resource utilization of the network can be improved. If traffic can be classified into delay-sensitive packet flows and deadline-constrained large data transfers, we can use a stratified node architecture to reduce cost of STWN node by reducing port count of optical and electronic switches. In this work, we investigate dimensioning of a network of flexible grid reconfigurable optical add/drop multiplexers and compare the result with that obtain by dimensioning of STWN. We propose a two-step method to determine the amount of spectrum required to satisfy the demand of large data transfers, which is given as a load matrix with a deadline and blocking rate. We also obtain the overall utilization over all links. The method firstly uses Markov chain to model variable bandwidth allocation over a lightpath and searches for amount of required spectrum of all source-destination pairs, and secondly optimizes routing and spectrum assignment for the matrix of amount of required spectrum to minimize maximum amount of spectrum used over each link. Numerical results show the following with all numbers given as absolute values: If bandwidth allocation method Min is used, the utilization can reach 0.7 and the amount of required spectrum is 30% more than that required by STWN. If bandwidth allocation method Dyna is used, the utilization can reach 0.9 and the amount of required spectrum is similar to that required by STWN. Also, under the same load, if blocking increases from 0.001 to 0.01, the amount of required spectrum decreases and the utilization increases 0.08, which denotes over-provisioning of spectrum and allowing preemption of spectrum during hours of peak traffic can effectively decrease blocking. Large data transfer Advance Reservation WDM networks Deadline-driven scheduled traffic model Performance analysis Sun, Weiqiang verfasserin aut Hu, Weisheng verfasserin (orcid)0000-0002-6168-2688 aut Enthalten in Optical switching and networking Amsterdam : Elsevier, 2005 31, Seite 100-113 Online-Ressource (DE-627)481275304 (DE-600)2179455-8 (DE-576)259486531 1872-9770 nnns volume:31 pages:100-113 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 AR 31 100-113
allfieldsGer	10.1016/j.osn.2018.09.004 doi (DE-627)ELV001135619 (ELSEVIER)S1573-4277(18)30001-8 DE-627 ger DE-627 rda eng 004 DE-600 Feng, Da verfasserin (orcid)0000-0002-9062-2932 aut Dimensioning of store-and-transfer WDM networks with stratified ROADM node 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The so called Store-and-Transfer WDM Network (STWN) can store data in source storage and provision lightpaths at an optimal time when wavelengths are clear of conflicts. Consequently, blocking of requests can be decreased and resource utilization of the network can be improved. If traffic can be classified into delay-sensitive packet flows and deadline-constrained large data transfers, we can use a stratified node architecture to reduce cost of STWN node by reducing port count of optical and electronic switches. In this work, we investigate dimensioning of a network of flexible grid reconfigurable optical add/drop multiplexers and compare the result with that obtain by dimensioning of STWN. We propose a two-step method to determine the amount of spectrum required to satisfy the demand of large data transfers, which is given as a load matrix with a deadline and blocking rate. We also obtain the overall utilization over all links. The method firstly uses Markov chain to model variable bandwidth allocation over a lightpath and searches for amount of required spectrum of all source-destination pairs, and secondly optimizes routing and spectrum assignment for the matrix of amount of required spectrum to minimize maximum amount of spectrum used over each link. Numerical results show the following with all numbers given as absolute values: If bandwidth allocation method Min is used, the utilization can reach 0.7 and the amount of required spectrum is 30% more than that required by STWN. If bandwidth allocation method Dyna is used, the utilization can reach 0.9 and the amount of required spectrum is similar to that required by STWN. Also, under the same load, if blocking increases from 0.001 to 0.01, the amount of required spectrum decreases and the utilization increases 0.08, which denotes over-provisioning of spectrum and allowing preemption of spectrum during hours of peak traffic can effectively decrease blocking. Large data transfer Advance Reservation WDM networks Deadline-driven scheduled traffic model Performance analysis Sun, Weiqiang verfasserin aut Hu, Weisheng verfasserin (orcid)0000-0002-6168-2688 aut Enthalten in Optical switching and networking Amsterdam : Elsevier, 2005 31, Seite 100-113 Online-Ressource (DE-627)481275304 (DE-600)2179455-8 (DE-576)259486531 1872-9770 nnns volume:31 pages:100-113 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 AR 31 100-113
allfieldsSound	10.1016/j.osn.2018.09.004 doi (DE-627)ELV001135619 (ELSEVIER)S1573-4277(18)30001-8 DE-627 ger DE-627 rda eng 004 DE-600 Feng, Da verfasserin (orcid)0000-0002-9062-2932 aut Dimensioning of store-and-transfer WDM networks with stratified ROADM node 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The so called Store-and-Transfer WDM Network (STWN) can store data in source storage and provision lightpaths at an optimal time when wavelengths are clear of conflicts. Consequently, blocking of requests can be decreased and resource utilization of the network can be improved. If traffic can be classified into delay-sensitive packet flows and deadline-constrained large data transfers, we can use a stratified node architecture to reduce cost of STWN node by reducing port count of optical and electronic switches. In this work, we investigate dimensioning of a network of flexible grid reconfigurable optical add/drop multiplexers and compare the result with that obtain by dimensioning of STWN. We propose a two-step method to determine the amount of spectrum required to satisfy the demand of large data transfers, which is given as a load matrix with a deadline and blocking rate. We also obtain the overall utilization over all links. The method firstly uses Markov chain to model variable bandwidth allocation over a lightpath and searches for amount of required spectrum of all source-destination pairs, and secondly optimizes routing and spectrum assignment for the matrix of amount of required spectrum to minimize maximum amount of spectrum used over each link. Numerical results show the following with all numbers given as absolute values: If bandwidth allocation method Min is used, the utilization can reach 0.7 and the amount of required spectrum is 30% more than that required by STWN. If bandwidth allocation method Dyna is used, the utilization can reach 0.9 and the amount of required spectrum is similar to that required by STWN. Also, under the same load, if blocking increases from 0.001 to 0.01, the amount of required spectrum decreases and the utilization increases 0.08, which denotes over-provisioning of spectrum and allowing preemption of spectrum during hours of peak traffic can effectively decrease blocking. Large data transfer Advance Reservation WDM networks Deadline-driven scheduled traffic model Performance analysis Sun, Weiqiang verfasserin aut Hu, Weisheng verfasserin (orcid)0000-0002-6168-2688 aut Enthalten in Optical switching and networking Amsterdam : Elsevier, 2005 31, Seite 100-113 Online-Ressource (DE-627)481275304 (DE-600)2179455-8 (DE-576)259486531 1872-9770 nnns volume:31 pages:100-113 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 AR 31 100-113
language	English
source	Enthalten in Optical switching and networking 31, Seite 100-113 volume:31 pages:100-113
sourceStr	Enthalten in Optical switching and networking 31, Seite 100-113 volume:31 pages:100-113
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Large data transfer Advance Reservation WDM networks Deadline-driven scheduled traffic model Performance analysis
dewey-raw	004
isfreeaccess_bool	false
container_title	Optical switching and networking
authorswithroles_txt_mv	Feng, Da @@aut@@ Sun, Weiqiang @@aut@@ Hu, Weisheng @@aut@@
publishDateDaySort_date	2018-01-01T00:00:00Z
hierarchy_top_id	481275304
dewey-sort	14
id	ELV001135619
language_de	englisch
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Consequently, blocking of requests can be decreased and resource utilization of the network can be improved. If traffic can be classified into delay-sensitive packet flows and deadline-constrained large data transfers, we can use a stratified node architecture to reduce cost of STWN node by reducing port count of optical and electronic switches. In this work, we investigate dimensioning of a network of flexible grid reconfigurable optical add/drop multiplexers and compare the result with that obtain by dimensioning of STWN. We propose a two-step method to determine the amount of spectrum required to satisfy the demand of large data transfers, which is given as a load matrix with a deadline and blocking rate. We also obtain the overall utilization over all links. 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author	Feng, Da
spellingShingle	Feng, Da ddc 004 misc Large data transfer misc Advance Reservation misc WDM networks misc Deadline-driven scheduled traffic model misc Performance analysis Dimensioning of store-and-transfer WDM networks with stratified ROADM node
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topic_title	004 DE-600 Dimensioning of store-and-transfer WDM networks with stratified ROADM node Large data transfer Advance Reservation WDM networks Deadline-driven scheduled traffic model Performance analysis
topic	ddc 004 misc Large data transfer misc Advance Reservation misc WDM networks misc Deadline-driven scheduled traffic model misc Performance analysis
topic_unstemmed	ddc 004 misc Large data transfer misc Advance Reservation misc WDM networks misc Deadline-driven scheduled traffic model misc Performance analysis
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title	Dimensioning of store-and-transfer WDM networks with stratified ROADM node
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title_full	Dimensioning of store-and-transfer WDM networks with stratified ROADM node
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title_sort	dimensioning of store-and-transfer wdm networks with stratified roadm node
title_auth	Dimensioning of store-and-transfer WDM networks with stratified ROADM node
abstract	The so called Store-and-Transfer WDM Network (STWN) can store data in source storage and provision lightpaths at an optimal time when wavelengths are clear of conflicts. Consequently, blocking of requests can be decreased and resource utilization of the network can be improved. If traffic can be classified into delay-sensitive packet flows and deadline-constrained large data transfers, we can use a stratified node architecture to reduce cost of STWN node by reducing port count of optical and electronic switches. In this work, we investigate dimensioning of a network of flexible grid reconfigurable optical add/drop multiplexers and compare the result with that obtain by dimensioning of STWN. We propose a two-step method to determine the amount of spectrum required to satisfy the demand of large data transfers, which is given as a load matrix with a deadline and blocking rate. We also obtain the overall utilization over all links. The method firstly uses Markov chain to model variable bandwidth allocation over a lightpath and searches for amount of required spectrum of all source-destination pairs, and secondly optimizes routing and spectrum assignment for the matrix of amount of required spectrum to minimize maximum amount of spectrum used over each link. Numerical results show the following with all numbers given as absolute values: If bandwidth allocation method Min is used, the utilization can reach 0.7 and the amount of required spectrum is 30% more than that required by STWN. If bandwidth allocation method Dyna is used, the utilization can reach 0.9 and the amount of required spectrum is similar to that required by STWN. Also, under the same load, if blocking increases from 0.001 to 0.01, the amount of required spectrum decreases and the utilization increases 0.08, which denotes over-provisioning of spectrum and allowing preemption of spectrum during hours of peak traffic can effectively decrease blocking.
abstractGer	The so called Store-and-Transfer WDM Network (STWN) can store data in source storage and provision lightpaths at an optimal time when wavelengths are clear of conflicts. Consequently, blocking of requests can be decreased and resource utilization of the network can be improved. If traffic can be classified into delay-sensitive packet flows and deadline-constrained large data transfers, we can use a stratified node architecture to reduce cost of STWN node by reducing port count of optical and electronic switches. In this work, we investigate dimensioning of a network of flexible grid reconfigurable optical add/drop multiplexers and compare the result with that obtain by dimensioning of STWN. We propose a two-step method to determine the amount of spectrum required to satisfy the demand of large data transfers, which is given as a load matrix with a deadline and blocking rate. We also obtain the overall utilization over all links. The method firstly uses Markov chain to model variable bandwidth allocation over a lightpath and searches for amount of required spectrum of all source-destination pairs, and secondly optimizes routing and spectrum assignment for the matrix of amount of required spectrum to minimize maximum amount of spectrum used over each link. Numerical results show the following with all numbers given as absolute values: If bandwidth allocation method Min is used, the utilization can reach 0.7 and the amount of required spectrum is 30% more than that required by STWN. If bandwidth allocation method Dyna is used, the utilization can reach 0.9 and the amount of required spectrum is similar to that required by STWN. Also, under the same load, if blocking increases from 0.001 to 0.01, the amount of required spectrum decreases and the utilization increases 0.08, which denotes over-provisioning of spectrum and allowing preemption of spectrum during hours of peak traffic can effectively decrease blocking.
abstract_unstemmed	The so called Store-and-Transfer WDM Network (STWN) can store data in source storage and provision lightpaths at an optimal time when wavelengths are clear of conflicts. Consequently, blocking of requests can be decreased and resource utilization of the network can be improved. If traffic can be classified into delay-sensitive packet flows and deadline-constrained large data transfers, we can use a stratified node architecture to reduce cost of STWN node by reducing port count of optical and electronic switches. In this work, we investigate dimensioning of a network of flexible grid reconfigurable optical add/drop multiplexers and compare the result with that obtain by dimensioning of STWN. We propose a two-step method to determine the amount of spectrum required to satisfy the demand of large data transfers, which is given as a load matrix with a deadline and blocking rate. We also obtain the overall utilization over all links. The method firstly uses Markov chain to model variable bandwidth allocation over a lightpath and searches for amount of required spectrum of all source-destination pairs, and secondly optimizes routing and spectrum assignment for the matrix of amount of required spectrum to minimize maximum amount of spectrum used over each link. Numerical results show the following with all numbers given as absolute values: If bandwidth allocation method Min is used, the utilization can reach 0.7 and the amount of required spectrum is 30% more than that required by STWN. If bandwidth allocation method Dyna is used, the utilization can reach 0.9 and the amount of required spectrum is similar to that required by STWN. Also, under the same load, if blocking increases from 0.001 to 0.01, the amount of required spectrum decreases and the utilization increases 0.08, which denotes over-provisioning of spectrum and allowing preemption of spectrum during hours of peak traffic can effectively decrease blocking.
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title_short	Dimensioning of store-and-transfer WDM networks with stratified ROADM node
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up_date	2024-07-06T20:20:57.461Z
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Dimensioning of store-and-transfer WDM networks with stratified ROADM node

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