Traffic Allocation Strategies in WSS-Based Dynamic Optical Networks

Ali Shakeri; Miquel Garrich; Anderson Bravalheri; Davide Careglio; Josep Solé-Pareta; Andrea Fumagalli

doi:10.1364/JOCN.9.00B112

Journal of Optical Communications and Networking
Vol. 9,
Issue 4,
pp. B112-B123
(2017)
•https://doi.org/10.1364/JOCN.9.00B112

Traffic Allocation Strategies in WSS-Based Dynamic Optical Networks

Ali Shakeri, Miquel Garrich, Anderson Bravalheri, Davide Careglio, Josep Solé-Pareta, and Andrea Fumagalli

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Ali Shakeri, Miquel Garrich, Anderson Bravalheri, Davide Careglio, Josep Solé-Pareta, and Andrea Fumagalli, "Traffic Allocation Strategies in WSS-Based Dynamic Optical Networks," J. Opt. Commun. Netw. 9, B112-B123 (2017)

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About this Article
History
- Original Manuscript: October 11, 2016
- Revised Manuscript: February 3, 2017
- Manuscript Accepted: February 6, 2017
- Published: March 14, 2017
Virtual Issues
Journal of Optical Communications and Networking Optical Network Design and Modeling (2017)

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Abstract

Elastic optical networking (EON) is a viable solution to meet future dynamic capacity requirements of Internet service provider and inter-datacenter networks. At the core of EON, wavelength selective switches (WSSs) are applied to individually route optical circuits, while assigning an arbitrary bandwidth to each circuit. Critically, the WSS control scheme and configuration time may delay the creation time of each circuit in the network. In this paper, we first detail the WSS-based optical data-plane implementation of a metropolitan network test-bed. Then, we review a software-defined networking (SDN) application designed to enable dynamic and fast circuit setup. Subsequently, we introduce a WSS logical model that captures the WSS time-sequence and is used to estimate the circuit-setup response time. Then, we present two batch service policies that aim to reduce the circuit-setup response time by bundling multiple WSS reconfiguration steps into a single SDN command. Resulting performance gains are estimated through simulation.

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Acronym	Definition
CD	Connection duration
IAT	Inter-arrival time
SPT	Service provisioning time

		Without Debouncing
Inter-Arrival Time IAT(s)→		Global Strategy						Distributed Strategy
		Global Strategy						Parallel Mode						Sequential Mode
		1	2	3	4	6	8	1	2	3	4	6	8	1	2	3	4	6	8
Conn. duration CD(s)	3	423.1	404.6	382.1	364.6	327.9	247.5	158.6	129.3	94.4	55.7	3.8	4.6	159.7	124.4	96.4	105.5	10.5	9.2
	3	(39.4)	(35.4)	(31.8)	(28.5)	(23)	(17.7)	(32.6)	(24.8)	(17.8)	(10.6)	(1.3)	(0.9)	(28.6)	(23.7)	(18.3)	(15.2)	(2.7)	(1.3)
	6	419.7	402.9	381.6	356.5	306.1	247	160	128.2	94.5	55.2	5.7	3.8	158.9	124.1	123.9	66.8	11.6	12.3
	6	(39.7)	(35.5)	(32.1)	(28.8)	(23.1)	(17.9)	(32.8)	(25.3)	(18.4)	(11.1)	(1.9)	(1.2)	(29.2)	(24.3)	(17.1)	(12.7)	(2.7)	(2.2)
	12	416.4	404.5	446.1	357.1	304.8	247.9	157.8	129.3	93.1	56.8	3.9	5.2	158.8	124.4	95.3	66.6	12.6	8.7
	12	(40.3)	(35.7)	(33.7)	(29.2)	(24.5)	(18.3)	(33.5)	(26.2)	(19.2)	(12.3)	(2.5)	(2.1)	(30.4)	(25.3)	(19.5)	(13.6)	(3.6)	(2.6)
		With Debouncing
Conn. duration CD(s)	3	31.9	28.3	27.1	27.3	26.2	26.2	11.7	11.3	11.2	11	9.1	10.5	23.5	21.3	20	20.4	19.4	17.7
	3	(17.7)	(11.3)	(8.6)	(6.7)	(4.6)	(3.5)	(12.1)	(6.6)	(4.8)	(3.6)	(2.2)	(1.5)	(15.8)	(9.5)	(6.7)	(5.2)	(3.5)	(2.3)
	6	32.1	29	27.2	26.9	25.4	26.3	11.9	11.5	11	11.1	10.3	10	22.7	21.6	20	20.1	17.4	15.9
	6	(17.7)	(11.3)	(8.6)	(6.7)	(4.6)	(3.5)	(12.1)	(6.9)	(4.8)	(3.7)	(2.6)	(1.8)	(16.1)	(10.1)	(7.4)	(5.8)	(3.7)	(2.9)
	12	32.8	29.6	27.7	27.3	26.5	26.2	12.4	11.3	11.4	11.5	10.5	9.9	24.1	22.5	20.7	20	17.5	16.8
	12	(23.7)	(16.2)	(11.5)	(8.9)	(8.9)	(4.7)	(17.1)	(9.9)	(7.1)	(5.4)	(3.8)	(2.9)	(20.4)	(12.7)	(9.2)	(7)	(4.7)	(3.2)

Acronym	Definition
$W$	Number of wavelengths to be configured by a WSS
$X_{WSS} (W)$	WSS response time to configure a batch of size $W$
$W_{\max}$	Maximum batch size
$λ$	Conn. req. generation rate. $λ = 1 / IAT$

Acronym	Definition
CD	Connection duration
IAT	Inter-arrival time
SPT	Service provisioning time

		Without Debouncing
Inter-Arrival Time IAT(s)→		Global Strategy						Distributed Strategy
		Global Strategy						Parallel Mode						Sequential Mode
		1	2	3	4	6	8	1	2	3	4	6	8	1	2	3	4	6	8
Conn. duration CD(s)	3	423.1	404.6	382.1	364.6	327.9	247.5	158.6	129.3	94.4	55.7	3.8	4.6	159.7	124.4	96.4	105.5	10.5	9.2
	3	(39.4)	(35.4)	(31.8)	(28.5)	(23)	(17.7)	(32.6)	(24.8)	(17.8)	(10.6)	(1.3)	(0.9)	(28.6)	(23.7)	(18.3)	(15.2)	(2.7)	(1.3)
	6	419.7	402.9	381.6	356.5	306.1	247	160	128.2	94.5	55.2	5.7	3.8	158.9	124.1	123.9	66.8	11.6	12.3
	6	(39.7)	(35.5)	(32.1)	(28.8)	(23.1)	(17.9)	(32.8)	(25.3)	(18.4)	(11.1)	(1.9)	(1.2)	(29.2)	(24.3)	(17.1)	(12.7)	(2.7)	(2.2)
	12	416.4	404.5	446.1	357.1	304.8	247.9	157.8	129.3	93.1	56.8	3.9	5.2	158.8	124.4	95.3	66.6	12.6	8.7
	12	(40.3)	(35.7)	(33.7)	(29.2)	(24.5)	(18.3)	(33.5)	(26.2)	(19.2)	(12.3)	(2.5)	(2.1)	(30.4)	(25.3)	(19.5)	(13.6)	(3.6)	(2.6)
		With Debouncing
Conn. duration CD(s)	3	31.9	28.3	27.1	27.3	26.2	26.2	11.7	11.3	11.2	11	9.1	10.5	23.5	21.3	20	20.4	19.4	17.7
	3	(17.7)	(11.3)	(8.6)	(6.7)	(4.6)	(3.5)	(12.1)	(6.6)	(4.8)	(3.6)	(2.2)	(1.5)	(15.8)	(9.5)	(6.7)	(5.2)	(3.5)	(2.3)
	6	32.1	29	27.2	26.9	25.4	26.3	11.9	11.5	11	11.1	10.3	10	22.7	21.6	20	20.1	17.4	15.9
	6	(17.7)	(11.3)	(8.6)	(6.7)	(4.6)	(3.5)	(12.1)	(6.9)	(4.8)	(3.7)	(2.6)	(1.8)	(16.1)	(10.1)	(7.4)	(5.8)	(3.7)	(2.9)
	12	32.8	29.6	27.7	27.3	26.5	26.2	12.4	11.3	11.4	11.5	10.5	9.9	24.1	22.5	20.7	20	17.5	16.8
	12	(23.7)	(16.2)	(11.5)	(8.9)	(8.9)	(4.7)	(17.1)	(9.9)	(7.1)	(5.4)	(3.8)	(2.9)	(20.4)	(12.7)	(9.2)	(7)	(4.7)	(3.2)

Traffic Allocation Strategies in WSS-Based Dynamic Optical Networks

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Journal of Optical Communications and Networking