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ISSN (Print): 1574-3624
ISSN (Online): 2212-389X

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Research Article

Channel Scheduling Based on Orchestrator Live Node-Wavelength Reservation for Optical Burst Switching Networks

Author(s): S. Manisekar* and J. A.V. Selvi

Volume 15, Issue 1, 2020

Page: [34 - 45] Pages: 12

DOI: 10.2174/1574362413666181109111518

Abstract

Background: Dedicated wavelength utilization and the isolation of control plane from the data plane are the important features in the design of Optical Burst Switching (OBS). The contention in bursts, link congestion and the reservation cause the burst dropping in optical networks. The slotted time and the burst assembly models incorporate the wavelength assignment and the channel reservation schemes to reduce the dropping probability. The reservation of resources prior to burst arrival and the additional delay due to the burst assembly and the offset time are the major issues in the reduction of probability. Besides, the traditional one-to-one packet transmission consumes more time due to a large number of packets handling.

Materials and Methods: This paper proposes the novel OBS model that incorporates the three processes such as Open-Flow (OF)-based Orchestrator Live Node (OLN) modeling, fuzzy logic based ranking and the offset time-based reservation (without/with void filling) to overcome the issues in the traditional methods. Initially, the OLN modeling based on OF analysis includes the Flow Information Base (FIB) table for the periodical update of the link information. The fuzzy logic- based ranking of channels followed by OF-OLN predicts the status of the wavelength such as free, used and conversion. Based on the status, the channels are reserved without and with void filling to schedule the bursts effectively. The reservation scheme employs the Offset-Time Burst Assembly algorithm to allow the resource reservation prior to burst arrival. Through these processes, the reuse of wavelength and the reallocation of resources are possible in OBS.

Results & Conclusion: The controlling of maximum burst transfer delay by the OTBA efficiently reduces the end-to-end delay for data traffic. The comparative analysis between the proposed OLN-WR with the existing Hybrid Burst Assembly (HBA), Fuzzy-based Adaptive Threshold (FAT) and Fuzzy-based Adaptive Hybrid Burst Assembly (FAHBA) in terms of end-to-end delay and transmitted amount of bursts assures the applicability of OLN-WR in scheduling and communication activities in OBS networks.

Keywords: Burst assembly, channel reservation, Optical Burst Switching (OBS), scheduling, void filling, Hybrid Burst Assembly (HBA).

Graphical Abstract

[1]
Fernandez TF, Ramachandiran S. Survey of QoS issues for TCP connections in Optical Burst Switched Networks. Int J Comput Appl 2012; 42(13): 25-8.
[2]
Seklou K, Sideri A, Kokkinos P, Varvarigos E. New assembly techniques and fast reservation protocols for optical burst switched networks based on traffic prediction. Opt Swit Net 2013; 10(2): 132-48.
[http://dx.doi.org/10.1016/j.osn.2012.08.002]
[3]
Fiorani M, Casoni M, Aleksic S. Hybrid optical switching for energy-efficiency and QoS differentiation in core networks. J Opt Commun Netw 2013; 5(5): 484-97.
[http://dx.doi.org/10.1364/JOCN.5.000484]
[4]
Coulibaly Y, Latiff MSA, Umaru AM, Garcia NM. QoS performance analysis of non-slotted and slotted optical burst switched networks.Communications (MICC), IEEE 12th Malaysia International Conference Nov 23-25. Kuching, Malaysia. IEEE 2016.
[5]
Larhlimi A, Mestari M, Elkhaili M. Neural best fit void filling scheduler in fixed time for optical burst switching.Intelligent Systems and Computer Vision (ISCV). 2015 Mar. 25-26Fez, Morocco: IEEE
[http://dx.doi.org/10.1109/ISACV.2015.7106163]
[6]
Patel AN, Ji PN, Wang T. Qos-aware optical burst switching in openflow based software-defined optical networks.17th International Conference on Optical Network Design and Modeling (ONDM). 2013 Apr. 16-19; Brest, France: IEEE
[7]
Gringeri S, Bitar N, Xia TJ. Extending software defined network principles to include optical transport. IEEE Commun Mag 2013; 51(3): 32-40.
[http://dx.doi.org/10.1109/MCOM.2013.6476863]
[8]
Triki A, Gravey A, Gravey P. CAPEX and OPEX saving in SDN-compliant sub-wavelength switching solution. 2015 International Conference on Photonics in Switching (PS). 2015 Sept. 22-25; Florence, Italy: IEEE
[http://dx.doi.org/10.1109/PS.2015.7329020]
[9]
Popescu I, Ušćumlić B, Triki A, Pointurier Y, Gravey A, Gravey P. Scalable routing, scheduling and virtualization for TWIN optical burst switching networks. 2015 20th European Conference on Networks and Optical Communications - (NOC).Jun – Jul. London, UK. IEEE. 2015; pp. 30-2.
[10]
Cvijetic N, Angelou MI, Patel A, Cvijetic M, Ji PN, Wang T. Software- defined optical network. US Patent US9131289B2 2015 September; 08.
[11]
Kavitha V, Palanisamy V. New burst assembly and scheduling technique for optical burst switching networks. J Comput Sci 2013; 9(8): 1030.
[http://dx.doi.org/10.3844/jcssp.2013.1030.1040]
[12]
Patel B, Dhabariya A. Analysis of burst assembly modeling for optical burst switched network. Int J Electr Comm Comp Tech 2013; 3(6): 532-6.
[13]
Espina F, Morato D, Izal M, Magaña E. A proposal of burst cloning for video quality improvement in optical burst switching networks. 17th International Conference Optical Network Design and Modeling (ONDM). Apr 16-19; Brest, France: IEEE 2013.
[14]
Donato E, Joaquim C, Antnio V, Ahmed P. A proposal of dynamic RWA using ant colony in optical burst switched networks. The Proceedings of the 11th International Conference on Networks (ICN). Feb - Mar 29-05Saint Gilles, Reunion Island. IARIA 2012
[15]
Poorzare R, Jamali S. Optimizing TCP Vegas for Optical Networks: a Fuzzy Logic Approach. Int J Comput Sci Inf Secur 2015; 13(4): 33-45.
[16]
Imran M, Landais P, Collier M, Katrinis K. Performance analysis of optical burst switching with fast optical switches for data center networks. 17th International Conference on Transparent Optical Networks (ICTON). 2015 Jul 05-09; Budapest, Hungary: IEEE
[http://dx.doi.org/10.1109/ICTON.2015.7193596]
[17]
Bisht J, Goel A. Pre-deflection routing with control packet signal scheme in optical burst switch networks. WASET Int J Comp Elect Auto Cont Info Engg 2014; 8(3): 520-3.
[18]
Coulibaly Y, Rouskas G, Latiff A, Shafie M, Razzaque M, Mandala S. QoS‐aware ant‐based route, wavelength and timeslot assignment algorithm for optical burst switched networks. Trans Emerg Telecommun Technol 2015; 26(11): 1265-77.
[http://dx.doi.org/10.1002/ett.2919]
[19]
Pedroso P, Perelló J, Careglio D, Klinkowski M, Spadaro S. Optimized burst LSP design for absolute QoS guarantees in GMPLS-controlled OBS networks. J Opt Commun Netw 2012; 4(2): 66-77.
[http://dx.doi.org/10.1364/JOCN.4.000066]
[20]
Li J. Reserve output link and FDL together or separately in Optical Burst Switching networks. 18th International Conference Transparent Optical Networks (ICTON). 2016 Jul 10-14; Trento, Italy: IEEE
[http://dx.doi.org/10.1109/ICTON.2016.7550481]
[21]
Rauniyar A, Mandloi A. Best fit void filling segmentation based algorithm in optical burst switching networks. Second International Conference on Emerging Trends in Engineering & Technology. 2009 Dec 16-18; Nagpur, India: IEEE 2009.
[22]
Singh H, Prakash J, Arora D, Wason A. Analysis of blocking probability in OBS networks. Int J Sci Engg Res 2011; 2(11): 01-7.
[23]
Muhammad Umaru A, Abd Latiff MS, Coulibaly Y. Fuzzy-based adaptive hybrid burst assembly technique for optical burst switched networks. J Comp Netw Comm 2014; 1(1): 01-10.
[24]
Oh S-y, Kang M E D S A. A burst assembly algorithm in optical burst switching networks. Optical fiber communication conference and exhibit. 2002 Mar 17-22Anaheim, CA, USA: IEEE
[25]
Yang J, Jia S, Wang G. Burst assembly algorithm based on fuzzyadaptive- threshold. J Harbin Engg Univ 2007; 28(6): 01.
[26]
Elrasad A, Rabia S, Mahmoud M, Aly MH, Shihada B. Dropping probability reduction in OBS networks: A simple approach. Optik-Int J Light Elect Opt 2016; 127(20): 9947-60.
[http://dx.doi.org/10.1016/j.ijleo.2016.07.093]
[27]
Askar S, Zervas G, Hunter DK, Simeonidou D. Adaptive classified cloning and aggregation technique for delay and loss sensitive applications in OBS networks. Optical Fiber Communication Conference and Exposition (OFC/NFOEC). 2011 Mar 6-10; Los Angeles, CA, USA: IEEE
[http://dx.doi.org/10.1364/OFC.2011.OThR4]
[28]
Maksymyuk T, Dumych S, Krasko O, Jo M. Software defined optical switching for cloud computing transport systems. Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication. 2015 Jan 08 – 10; Bali, Indonesia: ACM
[http://dx.doi.org/10.1145/2701126.2701232]
[29]
Gupta A, Kaler RS, Singh H. Investigation of OBS assembly technique based on various scheduling techniques for maximizing throughput. Optik-Int J Light Elec Opt 2013; 124(9): 840-4.
[http://dx.doi.org/10.1016/j.ijleo.2012.01.044]
[30]
Khan FZ, Hayat MF, Hołyński T, Khan MJ. Towards dynamic wavelength grouping for QoS in optical burst-switched networks. 40th International Conference Telecommunications and Signal Processing (TSP). 2017 Jul 5-7; Spain: IEEE
[http://dx.doi.org/10.1109/TSP.2017.8075941]

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