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An Efficient Multi-Objective Resiliency Scheme for Routing of Virtual Functions in Failure Scenarios
Conference proceeding   Peer reviewed

An Efficient Multi-Objective Resiliency Scheme for Routing of Virtual Functions in Failure Scenarios

D. Oliveira, M. Pourvali, J. Crichigno, E. Bou-Harb, M. Rahouti and N. Ghani
2019 Sixth International Conference on Software Defined Systems (SDS), pp.123-129
International Conference on Software Defined Systems (SDS), 6th (Rome, Italy, 06/10/2019–06/13/2019)
2019
DOI: https://doi.org/10.1109/sds.2019.8768623
Web of Science ID: WOS:000492873000017

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Abstract

network function virtualization (NFV) survivability genetic algorithm (GA) user services Algorithms Control Applications (Computer Sciences)
The network function virtualization (NFV) paradigm focuses on increasing manageability and scalability of modern complex heterogeneous networks and network services by decoupling the network functions and hosting devices. However, as new promising solutions become available, the need for availability and reliability techniques grow, particularly for large-scale and interdependent scenarios. Therefore this study proposes a meta-heuristic genetic algorithm scheme to deploy "risk-aware" virtual function mapping and traffic routing to improve the reliability of user services as well as reduce deployment and routing costs. Furthermore, this solution is compared with two other "risk-aware" survivable schemes in order to evaluate its accuracy, i.e., integer linear programming (ILP) and greedy heuristic solutions.

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