A Dynamic Offset and Delay Differential Assembly Method for OBS Network

  • Sui Zhicheng (Center of Broadband Optical Networking Technology(CBONT), State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University) ;
  • Xiao Shilin (Center of Broadband Optical Networking Technology(CBONT), State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University) ;
  • Zeng Qingji (Center of Broadband Optical Networking Technology(CBONT), State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University)
  • Published : 2006.06.01

Abstract

We study the dynamic burst assembly based on traffic prediction and offset and delay differentiation in optical burst switching network. To improve existing burst assembly mechanism and build an adaptive flexible optical burst switching network, an approach called quality of service (QoS) based adaptive dynamic assembly (QADA) is proposed in this paper. QADA method takes into account current arrival traffic in prediction time adequately and performs adaptive dynamic assembly in limited burst assembly time (BAT) range. By the simulation of burst length error, the QADA method is proved better than the existing method and can achieve the small enough predictive error for real scenarios. Then the different dynamic ranges of BAT for four traffic classes are introduced to make delay differentiation. According to the limitation of BAT range, the burst assembly is classified into one-dimension limit and two-dimension limit. We draw a comparison between one-dimension and two-dimension limit with different prediction time under QoS based offset time and find that the one-dimensional approach offers better network performance, while the two-dimensional approach provides strict inter-class differentiation. Furthermore, the final simulation results in our network condition show that QADA can execute adaptive flexible burst assembly with dynamic BAT and achieve a latency reduction, delay fairness, and offset time QoS guarantee for different traffic classes.

Keywords

References

  1. C. Qiao and M. Yoo, 'Optical burst switching (OBS)-a new paradigm for an optical internet,' J. High Speed Networks, vol. 8, pp. 69-84, Jan. 1999
  2. Y. Xiong, M. Vandenhoute, and H. Cankaya, 'Control architecture in optical burst-switched WDM networks,' IEEE J. Select. Areas Commun., vol. 18, pp. 1838-1850, Oct. 2000 https://doi.org/10.1109/49.887906
  3. A. Ge, F. Callegati, and L. Tamil, 'On optical burst switching and selfsimilar traffic,' IEEE Commun. Lett., vol. 4, pp. 98-100, Mar. 2000 https://doi.org/10.1109/4234.831037
  4. M. Duser, I. De Miguel, and P. Bayvel, 'Timescale analysis for wavelength-routed optical burst-switched (WR-OBS) networks,' in Proc. OFC 2002, Baltimore, USA, Mar. 2002, pp. 222-224
  5. X. Cao, J. Li, Y. Chen, and C. Qiao, 'Assembling TCP/IP packets in optical burst switched networks,' in Proc. GLOBECOM 2002, Taipei, Taiwan, Nov. 2002
  6. S. Oh and M. Kang, 'A burst assembly algorithm in optical burst switching networks,' in Proc. OFC 2002, Baltimore, USA, Mar. 2002, pp. 771-772
  7. V. Vokkarane, K. Haridoss, and J. Jue, 'Threshold-based burst assembly policies for QoS support in optical burst-switched networks,' in Proc. OptiComm 2002, Boston, USA, July 2002
  8. M. Yuang, J. Shin, and P. Tien, 'QoS burstification for optical burst switched WDM networks,' in Proc. OFC 2002, Baltimore, USA, Mar. 2002, pp. 781-783
  9. D. Morato, J. Aracil, L. A. Diez, M. Izal, and E. Magana, 'On linear prediction of internet traffic for packet and burst switching networks,' in Proc. ICCCN 2001, Scottsdale, USA, Oct. 2001, pp. 138-143
  10. J. Liu and N. Ansari, 'FRR for latency reduction and QoS provisioning in OBS networks,' IEEE J. Select. Areas Commun., vol. 21, pp. 1210-1219, July 2003 https://doi.org/10.1109/JSAC.2003.815845
  11. M. Yoo and C. Qiao, 'Just-enough-time (JET): A high speed protocol for bursty traffic in optical networks,' in Proc. IEEE/LEOS Technol. For a Global Inform. Infrastructure, New York, USA, Aug. 1997, pp. 26-27
  12. A. M. Adas, 'Using adaptive linear prediction to support teal-time VBR video under RCBR network service model,' IEEE/ACM Trans. Networking, vol. 6, pp. 635-644, Oct. 1998 https://doi.org/10.1109/90.731200