Autonomous response networks are becoming a reality thanks to recent advances in cloud computing, Network Function Virtualization (NFV) and Software-Defined Networking (SDN) technologies. These enhanced networks fully enable autonomous real-time management of virtualized infrastructures. In this context, one of the major challenges is how virtualized network resources can be effectively placed. Although this issue has been addressed before in cloud-based environments, it is not yet completely resolved for the online placement of virtual machines. For such a purpose, this paper proposes an online heuristic algorithm called Topology-Aware Placement of Virtual Network Functions (TAP-VNF) as a low-complexity solution for such dynamic infrastructures. As a complement, we provide a general formulation of the network function placement using the service function chaining concept. Furthermore, two metrics called consolidation and aggregation validate the efficiency of the proposal in the experimental simulations. We have compared our approach with optimal solutions, in terms of consolidation and aggregation ratios, showing a more suitable performance for dynamic cloud-based environments. The obtained results show that TAP-VNF also outperforms existing approaches based on traditional bin packing schemes. ; Postprint (published version)
An online algorithm for dynamic NFV placement in cloud-based autonomous response networks
2018-05-15
Article (Journal)
Electronic Resource
English
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació , Software-defined networking (Computer network technology) , network function virtualization , cloud , dynamic resource provision , virtual function placement , software-defined networking , bin packing algorithms , autonomous response networks , Xarxes definides per programari (Tecnologia de xarxes d'ordinadors)
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