Abstract | ||
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With the rapid growth of user data, service innovation, and the persistent necessity to reduce costs, today's mobile operators are faced with severe challenges. In networking, two new concepts have emerged aiming at cost reduction, increase of network scalability and service flexibility, namely Network Functions Virtualization (NFV) and Software Defined Networking (SDN). NFV proposes to run the mobile network functions as software instances on commodity servers or datacenters (DC), while SDN supports a decomposition of the mobile network into control-plane and data-plane functions. Whereas these new concepts are considered as very promising drivers to design cost efficient mobile network architectures, limited attention has been drawn to the network load and infringed data-plane delay imposed by introducing NFV or SDN. We argue that within a widely-spanned mobile network, there is in fact a high potential to combine both concepts. Taking load and delay into account, there will be areas of the mobile network rather benefiting from an NFV deployment with all functions virtualized, while for other areas, an SDN deployment with functions decomposition is more advantageous. We refer to this problem as the functions placement problem. We propose a model that resolves the functions placement and aims at minimizing the transport network load overhead against several parameters such as data-plane delay, number of potential datacenters and SDN control overhead. We illustrate our proposed concept along with a concrete use case example. |
Year | DOI | Venue |
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2014 | 10.1145/2627585.2627592 | AllThingsCellular@SIGCOMM |
Field | DocType | Citations |
Software deployment,Computer science,Server,Computer network,Cellular network,Software-defined networking,Transport network,Cost reduction,Cost efficiency,Distributed computing,Scalability | Conference | 78 |
PageRank | References | Authors |
3.88 | 5 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Arsany Basta | 1 | 241 | 16.20 |
W. Kellerer | 2 | 243 | 16.42 |
Marco Hoffmann | 3 | 273 | 17.29 |
Hans Jochen Morper | 4 | 98 | 4.76 |
Klaus Hoffmann | 5 | 119 | 6.68 |