Quantitative Service Reliability Assessment on Single and Multi Layer Networks

  • Harshit PandeyEmail author
  • Cher Ming Tan
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 835)


Congestion that might build up due to bottlenecks in a conventional data transmission network because of constrained capacities poses the main problem. This paper aims to model the two scenarios of data transmission in the network via the single and multi layer network architectures based on the queuing theory analysis for data packets, and various parameters are seen to yield results that substantiate vividly the benefits of multi layer architecture over the single layer by summarizing outputs in terms of service reliability. Analysis in terms of throughput and waiting time, the two modeled architectures deduce conclusions that effectively prove how layered networks are much more capable than single layered networks in terms of service Reliability.


Single layer Multi layer Congestion Utilization Public internet Peer to peer networks Buffering Message passing 


  1. 1.
    Kelly, F.: Mathematical modelling of the internet. In: Engquist, B., Schmid, W. (eds.) Mathematics Unlimited—2001 and Beyond, pp. 685–702. Springer, Berlin (2001). Scholar
  2. 2.
    Pandey, H., Ranjan, P., Tripathy, M.R., Pushp, S.: Optimal rate allocation in multi layer networks. In: Proceedings of ICDECT, (2017, to appear)Google Scholar
  3. 3.
    Felemban, E., Lee, C-G., Ekici, E., Boder, R., Vural, S.: Probabilistic QoS guarantee in reliability and timeliness domains in wireless sensor networks. In: Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies INFOCOM 2005, vol. 4, pp. 2646–2657. IEEE (2005)Google Scholar
  4. 4.
    Richard Harris Network Reliablility. Accessed 28 Jan 2018
  5. 5.
    Obeidat, I.M., Berkovich, S.Y.: Reliability of network connectivity. In: First International Conference on the Applications of Digital Information and Web Technologies. ICADIWT 2008, pp. 435–441. IEEE (2008)Google Scholar
  6. 6.
    Orhan Ergun: Why is Reliability Important in Networking (2016). Accessed 28 Jan 2018
  7. 7.
    Jain, R.: Congestion control in computer networks: trends and issues. arXiv preprint cs/9809091 (1998)Google Scholar
  8. 8.
    Galant, D.C.: Queuing theory models for computer networks (1989)Google Scholar
  9. 9.
    Standards for Technology in Automotive Retail (2012). Accessed 28 Jan 2018
  10. 10.
    Chu, C.-H.K., Chu, M.: An integrated framework for the assessment of network operations, reliability, and security. Bell. Labs Tech. J. 8(4), 133–152 (2004)CrossRefGoogle Scholar
  11. 11.
    Tsilipanos, K., Neokosmidis, I., Varoutas, D.: A system of systems framework for the reliability assessment of telecommunications networks. IEEE Syst. J. 7(1), 114–124 (2013)CrossRefGoogle Scholar
  12. 12.
    Yang, M., Feilong, W., Wang, S., Li, D.: Reliability assessment method of SOA architecture software system based on complex network. In: 2014 IEEE 4th Annual International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), pp. 653–657. IEEE (2014)Google Scholar
  13. 13.
    Lee, K., Lee, H.-W., Modiano, E.: Reliability in layered networks with random link failures. IEEE/ACM Trans. Networking (TON) 19(6), 1835–1848 (2011)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Electrical and Electronics EngineeringAmity School of Engineering and TechnologyNoidaIndia
  2. 2.Centre for Reliability Sciences and TechnologiesChang Gung UniversityTaoyuanTaiwan
  3. 3.Department of Electronics EngineeringChang Gung UniversityTaoyuanTaiwan
  4. 4.Department of UrologyChang Gung Memorial HospitalTaoyuanTaiwan
  5. 5.Department of Mechanical EngineeringMing Chi University of TechnologyTaoyuanTaiwan
  6. 6.Institute of Radiation Research, College of MedicineChang Gung UniversityTaoyuanTaiwan

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