An Efficient Multi-Objective Resiliency Scheme for Routing of Virtual Functions in Failure Scenarios
作者： D. Oliveira , M. Pourvali , J. Crichigno , E. Bou-Harb , M. Rahouti
关键词:
摘要: The network function virtualization (NFV) paradigm focuses on increasing manageability and scalability of modern complex heterogeneous networks services by decoupling the functions hosting devices. However, as new promising solutions become available, need for availability reliability techniques grow, particularly large-scale interdependent scenarios. Therefore this study proposes a meta-heuristic genetic algorithm scheme to deploy “risk-aware” virtual mapping traffic routing improve user well reduce deployment costs. Furthermore, solution is compared with two other survivable schemes in order evaluate its accuracy, i.e., integer linear programming (ILP) greedy heuristic solutions.
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