A mechanism of QoS differentiation based on offset time and adjusted burst length in OBS networks

A mechanism of QoS differentiation based on offset time and adjusted burst length in OBS networks

Quality of service (QoS) differentiation is an integral component of any networking system, particularly, with the current and future great diversity of users’ applications and their manifold requirements. In optical burst switching (OBS) networks, there are two approaches for QoS differentiation: one is based on offset time and the other is based on burst length. This paper presents a mechanism of QoS differentiation based on both offset time and burst length, in which the offset times are calculated to achieve a complete isolation of data loss between priority classes and the burst length is adaptively adjusted according to the feedbacked void size. The simulation results show that the mechanism of QoS differentiation based on offset time and adjusted burst length not only increases the successful scheduling rate but also reduces the burst delay.

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  • [1] Yoo SJB. Optical packet and burst switching technologies for the future photonic Internet. Journal of Lightwave Technology 2006; 24 (12): 4468–4492.
  • [2] Zalesky A. To burst or circuit switch? IEEE/ACM Transaction Network 2009; 17 (1): 305–318.
  • [3] Sholiyi A, Alzubi OA, Alzubi JA. Performance evaluation of turbo codes in high speed downlink packet access using EXIT charts. International Journal of Future Generation Communication and Networking 2017; 10 (8): 1-14.
  • [4] Alzubi J, Almomani O, Alzubi O, Al-Shugran M. Intelligent and dynamic neighbourhood entry lifetime for position- based routing protocol using fuzzy logic controller. International Journal of Computer Science and Information Security 2015; 14 (1): 118-128.
  • [5] Almomani O, Al-Shugran M, Alzubi J, Alzubi O. Performance evaluation of position-based routing protocols using different mobility models in MANET. International Journal of Computer Applications 2015; 119 (3): 43-48.
  • [6] Gheisari M, Alzubi J, Zhang X. A new algorithm for optimization of quality of service in peer to peer wireless mesh networks. Wireless Network 2019; 25 (7): 4445-4454.
  • [7] Yoo M, Qiao C, Dixit S. Optical burst switching for service differentiation in the next-generation optical internet. IEEE Communication Magazine 2001; 39 (2): 98-104. doi: 10.1109/35.900637
  • [8] Hwang IY, Ryou JH, Park HS. Offset-time compensation algorithm - QoS provisioning for the control channel of the optical burst switching network. Lecture Notes Computer Sciences 2005; 3391: 362-369.
  • [9] Klinkowski M, Careglio D, Spadaro S, Solé-Pareta J. Impact of burst length differentiation on QoS performance in OBS networks. In: 7th International Conference Transparent Optical Networks; Barcelona, Catalonia, Spain; 2005. pp. 91-94.
  • [10] Hernández JA, Aracil J, López V, De Vergara JL. On the analysis of burst-assembly delay in OBS networks and applications in delay-based service differentiation. Photonic Network Communication 2007; 14 (1): 49-62. doi: 10.1007/s11107-006-0048-8
  • [11] Yoo M, Qiao C, Just-enough-time (JET): A high speed protocol for bursty traffic in optical networks. In: IEEE/LEOS Technology Global Information Infrastructure; Montreal, Canada; 1997. pp. 26-27.
  • [12] Khan FZ, Hayat MF, HołYnski T, Khan MJ. Towards dynamic wavelength grouping for QOS in optical burst- switched networks. In: 40th International Conference on Telecommunications and Signal Processing; Barcelona, Spain; 2017. pp. 79-85.
  • [13] Barpanda RS, Turuk AK, Sahoo B. QoS aware routing and wavelength allocation in optical burst switching networks using differential evolution optimization. Digital Communication Networks 2018; 4 (1): 3-12. doi: 10.1016/j.dcan.2017.09.002
  • [14] Coulibaly Y, Rouskas G, Abd Latiff MS, Razzaque MA, Mandala S. QoS-aware ant-based route, wavelength and timeslot assignment algorithm for optical burst switched networks. Transactions on Emerging Telecommunication Technologies 2015; 26 (11): 1265-1277. doi: 10.1002/ett.2919
  • [15] Casoni M, Luppi E, Merani ML. Performance evaluation of channel scheduling algorithms with different QOS classes. In: 14th IEEE International Conference on Networks; Singapore; 2006. pp. 280-285.
  • [16] Xu J, Qiao C, Li J, Xu G. Efficient channel scheduling algorithms in optical burst switched networks. In: Twenty- Second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428); San Francisco, CA, USA; 2003. pp. 2268-2278.
  • [17] Lee Y. Dynamic burst length controlling algorithm-based loss differentiation in OBS networks through shared FDL buffers. Photonic Network Communication 2016; 31 (1): 36-47. doi: 10.1007/s11107-015-0527-x
  • [18] Khumalo P, Nleya B. A controllable deflection routing and wavelength assignment algorithm in OBS networks. Journal of Optics 2019; 48 (4): 539-548. doi: 10.1007/s12596-019-00578-2
  • [19] Vokkarane VM, Haridoss K, Jue JP. Threshold-based burst assembly policies for QoS support in optical burst- switched networks. In: The Convergence of Information Technologies and Communications; Boston, MA, United States; 2002. pp. 125-136.
  • [20] Lima MAC, César AC. Simultaneous effect of connection admission control in distance and bandwidth capacity on WDM network performance. Photonic Network Communications 2008; 15 (3): 251-261. doi: 10.1007/s11107-007- 0099-5
  • [21] Orawiwattanakul T, Ji Y, Zhang Y, Li J. Fair bandwidth allocation with distance fairness provisioning in optical burst switching networks. Journal of Lightwave Technology 2010; 27 (16): 3370-3380.
  • [22] Triay J, Rubio J, Cervelló C. An optical burst switching control plane architecture and its implementation. In: 2th Open European Summer School EUNICE; Stuttgart; 2006. pp. 1-7
  • [23] Nandi M, Turuk AK, Puthal DK, Dutta S. Best fit void filling algorithm in Optical Burst Switching networks. In: Second International Conference on Emerging Trends in Engineering & Technology; Nagpur, India; 2009. pp. 609-614.
  • [24] Al-Amin A, Nishimura K, Shimizu K, Takenaka T, Hatta O et al. Development of an optical-burst switching node testbed and demonstration of multibit rate optical burst forwarding. Journal of Lightwave Technology 2009; 27 (16): 3466-3475. doi: 10.1109/JLT.2009.2015776
  • [25] Kantarci B, Oktug SF, Atmaca T. Performance of OBS techniques under self-similar traffic based on various burst assembly techniques. Computer Communications 2007; 30 (2): 315-325. doi: 10.1016/j.comcom.2006.08.035
  • [26] Vo VMN, Le VH, Nguyen HS, Le MT. A model of QoS differentiation burst assembly with padding for improving the performance of OBS networks. Turkish Journal of Electrical Engineering & Computer Sciences 2018; 26 (4): 1783-1795. doi: 10.3906/elk-1710-45
Turkish Journal of Electrical Engineering and Computer Sciences-Cover
  • ISSN: 1300-0632
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK
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