Tensor Model of Fault-Tolerant QoS Routing with Support of Bandwidth and Delay Protection

In this paper a mathematical model of fault-tolerant QoS-routing is proposed, the novelty of which is that it provides the implementation of a scheme for protecting the level of Quality of Service on the parameters of bandwidth and average end-to-end delay of packets. The numerical example demonstrates the functionality of the proposed tensor model of fault-tolerant QoS routing with detailed procedures of geometrization of the network structure.

[1]  Nei Kato,et al.  A Tensor Based Deep Learning Technique for Intelligent Packet Routing , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[2]  Antonio Monge,et al.  MPLS in the SDN Era: Interoperable Scenarios to Make Networks Scale to New Services , 2015 .

[3]  Oleksandr Lemeshko,et al.  Linear optimization model of MPLS Traffic Engineering Fast ReRoute for link, node, and bandwidth protection , 2018, 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET).

[4]  Deep Medhi,et al.  A heuristic for widest edge-disjoint path pair lexicographic optimization , 2014, 2014 6th International Workshop on Reliable Networks Design and Modeling (RNDM).

[5]  Jacek Rak Resilient Routing in Communication Networks , 2015, Computer Communications and Networks.

[6]  Oleksandra S. Yeremenko,et al.  Method of hierarchical QoS routing based on network resource reservation , 2017, 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON).

[7]  David Tipper,et al.  Algorithms for determining a node-disjoint path pair visiting specified nodes , 2017, Opt. Switch. Netw..

[8]  Nei Kato,et al.  State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems , 2017, IEEE Communications Surveys & Tutorials.

[9]  Jacek Rak,et al.  Information-driven network resilience: Research challenges and perspectives , 2017, Opt. Switch. Netw..