Title | ||
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FASTSCALE: A fast and scalable evolutionary algorithm for the joint placement and chaining of virtualized services. |
Abstract | ||
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Service function chaining or in-line services in network function virtualization is a promising approach for network and service providers as it allows them to dynamically instantiate network functions and interconnect them according to a predetermined policy on-the-fly. It brings flexibility, easy management and rapid deployment of new virtual network services. With the advent of 5G and the concept of network slicing, virtual network services are becoming increasingly complex, not only in terms of topologies, but also in terms of stringent requirements that need to be fulfilled. An optimal deployment of these service function chains, and virtual network services in general, calls for an approach that considers the operational, traffic, and energy costs and QoS constraints jointly from a multi-objective mathematical perspective. |
Year | DOI | Venue |
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2019 | 10.1016/j.jnca.2019.102429 | Journal of Network and Computer Applications |
Keywords | Field | DocType |
Virtual network function,Multi-objective optimization,Resource allocation,Virtual network services | Virtual network,Chaining,Evolutionary algorithm,Computer science,Quality of service,Computer network,Service provider,Network topology,Linear programming,Cultural algorithm,Distributed computing | Journal |
Volume | ISSN | Citations |
148 | 1084-8045 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Laaziz Lahlou | 1 | 1 | 0.35 |
Nadjia Kara | 2 | 61 | 14.54 |
Rafi Rabipour | 3 | 1 | 0.69 |
Claes Edstrom | 4 | 8 | 2.87 |
Yves Lemieux | 5 | 86 | 13.06 |