Home A Method of Optical Grooming Based on Dynamic Multicast Capable of Adaptive Splitting Under Differential Delay Constraint
Article
Licensed
Unlicensed Requires Authentication

A Method of Optical Grooming Based on Dynamic Multicast Capable of Adaptive Splitting Under Differential Delay Constraint

  • Danling Zheng , Lan Wu and Huanlin Liu EMAIL logo
Published/Copyright: January 12, 2017
Become an author with De Gruyter Brill

Abstract

Aiming at the problem of energy efficient transmission for multiple paths under differential delay constraint, we propose a method of optical grooming based on dynamic splitting under differential delay constraint algorithm (OG-DSDA) for optical networks. When a multicast demand cannot be groomed due to the bandwidth fragment, the method constructs two types of logic light-tree sets according to the differential delay constraint between source node and destinations. In order to reduce the network link costs caused by too many split parts, the method gives high priority to the first type logic light-trees with the maximum available bandwidth to meet the requirement. When the bandwidth of first type logic light-tree is insufficient for all sub-requests, the rest of sub-demands is adaptively groomed into a light-tree in second set of light-trees with the lower power consumption. Simulation results show that the proposed method can effectively decrease the network blocking probability and reduce network’s energy consumption.

PACS: 01.30.Bb

Funding statement: This research was supported by national nature science foundation of China (NSFC 61275077), by the national program on key basic research project of China (2012CB315803), and by the basic and frontier research program of Chongqing (CSTC 2015jcyjA0024).

References

1. Yu X, Xiao G, Cheng TH. Historical data learning based dynamic LSP routing for overlay IP over WDM networks. Opt Fiber Technol 2013;19(4):308–19.10.1109/ICICS.2009.5397524Search in Google Scholar

2. Huang S, Wang Y, Liu HL, Qin L. Multi-source multi-core routing algorithm based on network coding in optical multicast network. J Chongqing Univ Post Telecommun 2014;26(2):143–9.Search in Google Scholar

3. Zhou H, Mao SW, Agrawa P. Optical power allocation for adaptive transmissions in wavelength-division multiplexing free space optical networks. Digital Commun Netw 2015;1(3):171–80.10.1016/j.dcan.2015.09.001Search in Google Scholar

4. Wei C, Zhou B, Liu HL, Liu Y, Chen Y. A bandwidth-variable scheduling algorithm of saving energy for the holding time of traffic requests. J Beijing Univ Posts Telecommun 2016;39(1):83–6.Search in Google Scholar

5. Pradhan AK, Araiyer S, De T. Design of light-tree based multicast traffic grooming in WDM mesh networks. J Optics 2014;43(4):330–40.10.1007/s12596-014-0211-zSearch in Google Scholar

6. Liu HL, Xu YF, Chen Y. Spectrum-aware traffic split-merge resource allocation strategy for elastic optical networks. J Electron Inf Technol 2016;38(4):892–8.Search in Google Scholar

7. Pages A, Perello J, Spadaro S, Comellas J. Optimal route, spectrum, and modulation level assignment in split-spectrum-enabled dynamic elastic optical networks. IEEE/OSA J Opt Commun Networks 2014;6(2):114–26.10.1364/JOCN.6.000114Search in Google Scholar

8. Rivera R, Crichigno J, Ghani N. A comparative study of routing metrics for reliable multi-path provisioning. International Conference on Computing, Honolulu HI: United states, Feb 3–6, 2014:450–54.10.1109/ICCNC.2014.6785377Search in Google Scholar

9. Pagès A, Perelló J, Spadaro S, Comellas J. Optimal route, spectrum, and modulation level assignment in split-spectrum-enabled dynamic elastic optical networks. J Opt Commun Netw 2014;6(2):114–26.10.1364/JOCN.6.000114Search in Google Scholar

10. Lu W, Zhou X, Gong L, Zhang M, Zhu Z. Dynamic multi-path service provisioning under differential delay constraint in elastic optical networks. IEEE Commun Lett 2013;17(1):158–61.10.1109/LCOMM.2012.120612.121343Search in Google Scholar

11. Shen G, Lui Y, Bose SK. “Follow the Sun, follow the Wind” Lightpath virtual topology reconfiguration in IP over WDM network. J Lightwave Technol 2014;32(11):2094–105.10.1109/JLT.2014.2317833Search in Google Scholar

12. Guo L, Hou W, Wei X, Lv S. Power efficient grooming based on optical bypass reconfiguration in green optical networks. Optik 2013;124(5):437–45.10.1016/j.ijleo.2011.12.033Search in Google Scholar

13. Guo L, Hou W, Wu J, Li Y. Multicast multi-granular grooming based on integrated auxiliary grooming graph in optical networks. Photonics Network Commun 2012;24(2):103–77.10.1007/s11107-012-0371-1Search in Google Scholar

14. Gumaste A, Das T, Vaishampayan R, Wang J, Somani A. Extending light-trails to regional networks: multi-hop light-trails (MLT)-system design and performance. J Opt Commun Network 2012;4(12):1046–61.10.1364/JOCN.4.001046Search in Google Scholar

15. Gond VJ, Goel A. Performance analysis of traffic groomed optical network. Optik 2012;123(9):788–91.10.1016/j.ijleo.2011.05.034Search in Google Scholar

16. Shi L, Liu B, Sun C. Load-balancing multipath switching system with flow slice. IEEE Trans Comput 2012;61(3):350–65.10.1109/TC.2010.279Search in Google Scholar

17. Chaitanya NK, Varadarajan S, Sreenivasulu P. Adaptive multi-path routing for congestion control. IEEE International Advance Computing Conference (IACC) 2014, Gurgaon: India, Feb 21–22, 2014:189–92.10.1109/IAdCC.2014.6779318Search in Google Scholar

18. Tanaka A. Effects of length and number of paths on simultaneous multi-path communication. IEEE International Symposium on Applications and the Internet (SAINT), Munich Bavaria: Germany, July 18–21, 2011:214–17.10.1109/SAINT.2011.38Search in Google Scholar

19. Shachnai H, Voloshin A, Zaks S. Optimizing bandwidth allocation in flex-grid optical networks with application to scheduling. IEEE International Parallel and Distributed Processing Symposium (IPDPS), Phoenix AZ: United States, May 19–23, 2014:862–71.10.1109/IPDPS.2014.93Search in Google Scholar

20. Liu HL, Fang Q, Lei F. Analysis of multicast traffic grooming algorithms in WDM mesh networks. J Chongqing Univ Post Telecommun 2012;24(3):269–77.Search in Google Scholar

Received: 2016-10-30
Accepted: 2016-12-14
Published Online: 2017-1-12
Published in Print: 2018-6-26

© 2018 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 29.10.2025 from https://www.degruyterbrill.com/document/doi/10.1515/joc-2016-0147/pdf
Scroll to top button