WDM network re-optimization avoiding costly traffic disruptions

被引:2
|
作者
Solano, Fernando [1 ]
Pioro, Michal [2 ,3 ]
机构
[1] Warsaw Univ Technol, Inst Telecommun, Warsaw, Poland
[2] Warsaw Univ Technol, Inst Telecommun, Comp Networks & Switching Div, Warsaw, Poland
[3] Lund Univ, Dept Electro & Informat Technol, Lund, Sweden
关键词
Network reoptimization; Network reconfiguration; Routing; Optical networks; WDM; Lightpath; Trafic disruption; RECONFIGURATION;
D O I
10.1007/s11235-011-9584-3
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Network re-optimization is a process that must be triggered periodically in order to improve the inefficient resource allocation of online routing heuristics due to the uncertainty of online lightpath demand arrivals and departures. Network re-optimization involves two tasks: a) finding new lightpaths for a (sub)set of current demands, i.e. rerouting, and b) migrating the current traffic to the new configuration diminishing traffic disruptions, i.e. lightpath reconfiguration. If not controlled, excessive traffic disruptions may be a cause of violations of clients' Service Level Agreement, which should be compensated by the network operator with penalization fees. So far, rerouting and reconfiguration tasks of a re-optimization process have been done separately, hence, efforts in trying to achieve the best network performance (rerouting) yields to solutions incurring on unacceptable traffic disruptions (reconfiguration) and vice-versa. In this paper, given a time-disruption threshold for reconfiguring every demand, we present a novel methodology consisting on two procedures that collaboratively find the best network performance without incurring on penalization fees. Our numerical results are extremely encouraging: in our scenarios, it is always possible to achieve an optimal routing performance without incurring on penalization fees.
引用
收藏
页码:907 / 918
页数:12
相关论文
共 50 条
  • [41] On solving periodic re-optimization dynamic vehicle routing problems
    AbdAllah, Abdel Monaem F. M.
    Essam, Daryl L.
    Sarker, Ruhul A.
    APPLIED SOFT COMPUTING, 2017, 55 : 1 - 12
  • [42] Experimental Validation of Active Frontend - Backend Stateful PCE Operations in Flexgrid Optical Network Re-optimization
    Martinez, R.
    Gifre, L. I.
    Casellas, R.
    Velasco, L.
    Munoz, R.
    Vilalta, R.
    2014 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC), 2014,
  • [43] VAYU: Accelerating stream processing applications through dynamic network-aware topology re-optimization
    Rapolu, Naresh
    Chakradhar, Srimat
    Grama, Ananth
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2018, 111 : 13 - 23
  • [44] A comparison of two probabilistic methods for intrafractional re-optimization in IMRT
    Flynn, R
    Unkelbach, J
    Oelfke, U
    Jeraj, R
    Mackie, T
    RADIOTHERAPY AND ONCOLOGY, 2005, 76 : S106 - S107
  • [45] Towards resilience: Primal large-scale re-optimization
    Er Raqabi, El Mehdi
    Wu, Yong
    El Hallaoui, Issmaïl
    Soumis, François
    Transportation Research Part E: Logistics and Transportation Review, 2024, 192
  • [46] Event Scheduling with Soft Constraints and On-Demand Re-Optimization
    Hosein, Patrick
    Boodhoo, Steffan
    2016 IEEE INTERNATIONAL CONFERENCE ON KNOWLEDGE ENGINEERING AND APPLICATIONS (ICKEA 2016), 2016, : 62 - 66
  • [48] Constructal re-optimization of heat conduction with the triangular elemental area
    Chen, Lingen
    Wu, Wenjun
    Sun, Fengrui
    INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES, 2014, 9 (04) : 256 - 261
  • [49] Thermodynamic Re-optimization of the Binary Pb-Sb System
    Wojciech Gierlotka
    Cho-yu Lee
    Prasert Chumpanaya
    Md. Arifur Rahman
    Ting-Nan Ko
    Journal of Phase Equilibria and Diffusion, 2013, 34 : 421 - 424
  • [50] Thermodynamic Re-optimization of the Binary Pb-Sb System
    Gierlotka, Wojciech
    Lee, Cho-yu
    Chumpanaya, Prasert
    Rahman, Md Arifur
    Ko, Ting-Nan
    JOURNAL OF PHASE EQUILIBRIA AND DIFFUSION, 2013, 34 (05) : 421 - 424