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Analysis of link failures and recoveries on 6to4 tunneling network with different routing protocol

Author

Listed:
  • Neha Jain

    (USICT, GGSIPU)

  • Ashish Payal

    (USICT, GGSIPU)

  • Aarti Jain

    (NSUT)

Abstract

Failure recovery is an essential discussion in communication to guarantee the network's undisturbed and reliable service. Failed links have been affecting the communication network performance for various real-time applications for many years. Thus, it is necessary to address the issue, as it affects both users and service provider’s, leading to catastrophic collapse and cascading or interdependent failures. Therefore, designing a survivable network is the primary concern. Estimating and predicting network performance in advance for network survivability and traffic reachability is advantageous for network engineers. Therefore, in this paper, we analyze the network performance by failing and recovering network links for multiple time durations. The 6to4 tunneling network has been configured where two isolated IPv6 networks are connected through the tunnel's to the IPv4 backbone network, and we have failed the links that are connecting these networks. The 6to4 automatic and manual tunneling networks are defined separately. The network is simulated using Routing Information Protocol/Routing Information Protocol Next Generation and Open Shortest Path First/Open Shortest Path First version 3 for real-time voice and video streaming applications. The network's performance is calculated for links over each routing protocol and tunneling technique in these cases. Therefore, this analysis allows us the pre-computation of performance for failing the main link connecting the IPv6 networks to the IPv4 backbone network or vice-versa. The performance parameters studied and evaluated in this paper are network convergence, traffic dropped, throughput, queuing delay, and router performance. The different route table characteristics for Router A, Router C, and IPv4 backbone are also analyzed as links between them are failed and recovered multiple times. This novel analysis and discussion bring out a practical, realistic analysis of recovery and system vulnerability.

Suggested Citation

  • Neha Jain & Ashish Payal & Aarti Jain, 2023. "Analysis of link failures and recoveries on 6to4 tunneling network with different routing protocol," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1037-1063, March.
    • Handle: RePEc:spr:joinma:v:34:y:2023:i:3:d:10.1007_s10845-021-01835-7
    DOI: 10.1007/s10845-021-01835-7
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    References listed on IDEAS

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    1. Ercan Oztemel & Samet Gursev, 2020. "Literature review of Industry 4.0 and related technologies," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 127-182, January.
    2. Jing, Ke & Du, Xinru & Shen, Lixin & Tang, Liang, 2019. "Robustness of complex networks: Cascading failure mechanism by considering the characteristics of time delay and recovery strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    3. Shekhtman, Louis M. & Danziger, Michael M. & Havlin, Shlomo, 2016. "Recent advances on failure and recovery in networks of networks," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 28-36.
    4. Kai Meng & Xiaoming Qian & Peihuang Lou & Jiong Zhang, 2020. "Smart recovery decision-making of used industrial equipment for sustainable manufacturing: belt lifter case study," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 183-197, January.
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