Abstract
The paper proposes a flow-based model of Fast ReRoute in a multiservice network with Quality of Service protection under multiple parameters, such as bandwidth, probability of packet loss, and average end-to-end delay. In the course of solving the task within the framework of this model, a result was obtained, the use of which contributes to the optimal use of the available network resource while ensuring a given level of Quality of Service and Quality of Resilience over both the primary and backup routes in the infocommunication network. The numerical example demonstrates the operability of the proposed Fast ReRoute flow-based model with detailing the procedures for geometrization of the network structure: the choice of space, coordinate systems and the formation of covariant transformation matrices of the introduced bases. The example covered the case of a possible failure of an arbitrary network router and (or) communication links incident to it. As a result of the problem solution, the primary and backup multipaths were obtained, along which a given level of Quality of Service was ensured in terms of bandwidth, the probability of packet loss and the average end-to-end delay.
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Lemeshko, O., Yevdokymenko, M., Yeremenko, O. (2021). Fast ReRoute Tensor Model with Quality of Service Protection Under Multiple Parameters. In: Radivilova, T., Ageyev, D., Kryvinska, N. (eds) Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-030-43070-2_22
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