In this paper, we investigate the allocation of network resources (such as FlowTable entries and band- width) in multi-tenant Software-Defined Networks (SDNs) that are managed by a FlowVisor. This resource allocation problem is modeled as an auction where the FlowVisor acts as the auctioneer and the network Controllers act as the bidders . The problem is analyzed by means of non-cooperative game theory, and it is shown that the auction admits a unique Nash Equilibrium (NE) under suitable conditions. Furthermore, a novel distributed learning procedure is provided that allows each Controller to reach the game’s unique NE in a few iterations by exploiting only locally available information. An implementation in OpenFlow- compliant SDNs is also proposed in a way that exploits native procedures already offered by OpenFlow. Finally, simulation results show that the proposed auction-based resource management scheme leads to significant improvements in network performance (for instance, achieving gains of up to 5 × reduction in transmission delays).

Auction-based resource allocation in OpenFlow multi-tenant networks

D'Oro S;GALLUCCIO, LAURA
;
MORABITO, Giacomo;PALAZZO, Sergio
2017

Abstract

In this paper, we investigate the allocation of network resources (such as FlowTable entries and band- width) in multi-tenant Software-Defined Networks (SDNs) that are managed by a FlowVisor. This resource allocation problem is modeled as an auction where the FlowVisor acts as the auctioneer and the network Controllers act as the bidders . The problem is analyzed by means of non-cooperative game theory, and it is shown that the auction admits a unique Nash Equilibrium (NE) under suitable conditions. Furthermore, a novel distributed learning procedure is provided that allows each Controller to reach the game’s unique NE in a few iterations by exploiting only locally available information. An implementation in OpenFlow- compliant SDNs is also proposed in a way that exploits native procedures already offered by OpenFlow. Finally, simulation results show that the proposed auction-based resource management scheme leads to significant improvements in network performance (for instance, achieving gains of up to 5 × reduction in transmission delays).
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.11769/29151
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