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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 828))

Abstract

Issue of rate allocation on a variety of exotic networks is a vexing one. In this work, a multilayer network is studied for optimal rate allocation with generally speaking inter-layer links appearing as bottlenecks due to constrained capacities. Continuing the idea from our earlier research, we unfold new connections between aggression of users for a resource and clogging of a crucial link between two layers. We believe that in the situation of rampage in post-game scenario or terrorist attacks which have become all too common, and there is a new way to rethink about designing inter-layer links. They are the arteries which are going to choke first and strain the movement of crucial exits in most difficult times. Further, links with aggression and aggregate crowd behavior are illustrated.

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References

  1. Ranjan P, Tripathy MR, Pushp S, Pandey H (2017) Understanding rate allocation mechanism in strategic and structural communication network via dynamic adjacency, to appear in Proceedings of PIERS

    Google Scholar 

  2. Wilson JD, Palowitch J, Bhamidi S, AB Nobel (2016) Community extraction in multilayer networks with heterogeneous community structure. arXiv preprint arXiv:1610.06511

  3. Wehmuth K, Fleury R, Ziviani A (2016) Multi aspect graphs: algebraic representation and algorithms. Algorithms 10(1):1

    Article  Google Scholar 

  4. Jacobson Van (1988) Congestion avoidance and control. ACM SIGCOMM Comput Commun Rev 18(4):314–329. ACM, New York City

    Google Scholar 

  5. Kelly F (2001) Mathematical modelling of the Internet. In: Mathematics unlimited 2001 and beyond, pp. 685–702. Springer, Berlin, Heidelberg

    Chapter  Google Scholar 

  6. Liakh S (2009) Multilayer network survivability

    Google Scholar 

  7. Skyrms B, Pemantle R (2009) A dynamic model of social network formation. In: Adaptive networks, pp 231–251. Springer, Berlin, Heidelberg

    Google Scholar 

  8. Kumari S, Singh A, Ranjan P (2016) Towards a framework for rate control on dynamic communication networks. In: Proceedings of the international conference on internet of things and cloud computing, p 12. ACM, New York City

    Google Scholar 

  9. Abdelhadi A, Shajaiah H (2016) Optimal resource allocation for cellular networks with MATLAB instructions. arXiv preprint arXiv:1612.07862

  10. Ranjan P, La RJ, Abed EH (2006) Global stability conditions for rate control with arbitrary communication delays. IEEE/ACM Trans Netw (TON) 14(1):94–107

    Article  Google Scholar 

  11. Matta I (2013) Optimizing and modeling dynamics in networks. In: Haddadi H, Bonaventure O (eds) eBook on Recent Advances in Networking. ACM SIGCOMM 1

    Google Scholar 

  12. Kinsella NS, Tinsley P (2004) Causation and aggression. Q J Austrian Econ 7(4):97–112

    Article  Google Scholar 

  13. Wanjiku MA (2016) Assessment of crowd management strategies used for football events in government-owned sports stadia in Nairobi county, Kenya. Ph.D. dissertation, School of Applied Human Sciences, Kenyatta University

    Google Scholar 

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Correspondence to Harshit Pandey .

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Pandey, H., Ranjan, P., Pushp, S., Tripathy, M.R. (2019). Optimal Rate Allocation for Multilayer Networks. In: Kulkarni, A., Satapathy, S., Kang, T., Kashan, A. (eds) Proceedings of the 2nd International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-13-1610-4_66

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  • DOI: https://doi.org/10.1007/978-981-13-1610-4_66

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1609-8

  • Online ISBN: 978-981-13-1610-4

  • eBook Packages: EngineeringEngineering (R0)

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