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
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
Wilson JD, Palowitch J, Bhamidi S, AB Nobel (2016) Community extraction in multilayer networks with heterogeneous community structure. arXiv preprint arXiv:1610.06511
Wehmuth K, Fleury R, Ziviani A (2016) Multi aspect graphs: algebraic representation and algorithms. Algorithms 10(1):1
Jacobson Van (1988) Congestion avoidance and control. ACM SIGCOMM Comput Commun Rev 18(4):314–329. ACM, New York City
Kelly F (2001) Mathematical modelling of the Internet. In: Mathematics unlimited 2001 and beyond, pp. 685–702. Springer, Berlin, Heidelberg
Liakh S (2009) Multilayer network survivability
Skyrms B, Pemantle R (2009) A dynamic model of social network formation. In: Adaptive networks, pp 231–251. Springer, Berlin, Heidelberg
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
Abdelhadi A, Shajaiah H (2016) Optimal resource allocation for cellular networks with MATLAB instructions. arXiv preprint arXiv:1612.07862
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
Matta I (2013) Optimizing and modeling dynamics in networks. In: Haddadi H, Bonaventure O (eds) eBook on Recent Advances in Networking. ACM SIGCOMM 1
Kinsella NS, Tinsley P (2004) Causation and aggression. Q J Austrian Econ 7(4):97–112
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
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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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