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author:

Liu, Qian (Liu, Qian.) [1] | Lin, Xiao (Lin, Xiao.) [2] (Scholars:林霄) | Yue, Shengnan (Yue, Shengnan.) [3] | Sun, Weiqiang (Sun, Weiqiang.) [4] | Hu, Weisheng (Hu, Weisheng.) [5]

Indexed by:

CPCI-S

Abstract:

Rapid growth of traffic leads to bottlenecks on inter-domain links, and the residual bandwidth on such links exhibits temporal and spatial variations. There may not be sufficient bandwidth for end-to-end cross domain transmission upon the arrival of hulk data requests. Storage can he introduced into the forwarding path so that the delay tolerant data can he temporarily stored and forwarded when network links become less congested. In this paper, we study the Store-and-Forward (SnF) problem in a multi-domain environment. We present a routing scheme based on a framework named TS-MLG (time-shifted multilayer graph) to perform inter-domain bulk data transfer by taking both spatial and temporal aspects into consideration. With this scheme, the cross-domain routing path, as well as the storage points and the time of transmission, can be determined through conventional routing computations. An updating strategy is proposed to realize temporal bandwidth information exchange between physical and logical layers. Numerical simulations reveal that SnF can improve the inter-domain bandwidth utilization and optimize the network performance at the practical cost of network states maintenance overhead and computational complexity. Since the multi-domain routing is sensitive to the burden of the control plane, we also studied factors that affect computational complexity.

Keyword:

bandwidth bulk data computational complexity multi-domain routing store-and-forward

Community:

  • [ 1 ] [Liu, Qian]Shanghai Jiao Tong Univ, State Key Lab Adv Opt Commun Syst & Networks, Shanghai, Peoples R China
  • [ 2 ] [Yue, Shengnan]Shanghai Jiao Tong Univ, State Key Lab Adv Opt Commun Syst & Networks, Shanghai, Peoples R China
  • [ 3 ] [Sun, Weiqiang]Shanghai Jiao Tong Univ, State Key Lab Adv Opt Commun Syst & Networks, Shanghai, Peoples R China
  • [ 4 ] [Hu, Weisheng]Shanghai Jiao Tong Univ, State Key Lab Adv Opt Commun Syst & Networks, Shanghai, Peoples R China
  • [ 5 ] [Liu, Qian]Shanghai Jiao Tong Univ, Shanghai Inst Adv Commun & Data Sci, Shanghai, Peoples R China
  • [ 6 ] [Yue, Shengnan]Shanghai Jiao Tong Univ, Shanghai Inst Adv Commun & Data Sci, Shanghai, Peoples R China
  • [ 7 ] [Sun, Weiqiang]Shanghai Jiao Tong Univ, Shanghai Inst Adv Commun & Data Sci, Shanghai, Peoples R China
  • [ 8 ] [Hu, Weisheng]Shanghai Jiao Tong Univ, Shanghai Inst Adv Commun & Data Sci, Shanghai, Peoples R China
  • [ 9 ] [Lin, Xiao]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou, Fujian, Peoples R China

Reprint 's Address:

  • [Liu, Qian]Shanghai Jiao Tong Univ, State Key Lab Adv Opt Commun Syst & Networks, Shanghai, Peoples R China;;[Liu, Qian]Shanghai Jiao Tong Univ, Shanghai Inst Adv Commun & Data Sci, Shanghai, Peoples R China

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Source :

ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)

ISSN: 1550-3607

Year: 2019

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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