TY - GEN
T1 - An efficient multi-objective resiliency scheme for routing of virtual functions in failure scenarios
AU - Oliveira, D.
AU - Pourvali, M.
AU - Crichigno, J.
AU - Bou-Harb, E.
AU - Rahouti, M.
AU - Ghani, N.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85073910126&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85073910126&partnerID=8YFLogxK
U2 - 10.1109/SDS.2019.8768623
DO - 10.1109/SDS.2019.8768623
M3 - Conference contribution
AN - SCOPUS:85073910126
T3 - 2019 6th International Conference on Software Defined Systems, SDS 2019
SP - 123
EP - 129
BT - 2019 6th International Conference on Software Defined Systems, SDS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Software Defined Systems, SDS 2019
Y2 - 10 June 2019 through 13 June 2019
ER -