Control-plane slicing methods in multi-tenant software defined networks

C Argyropoulos, S Mastorakis, K Giotis… - 2015 IFIP/IEEE …, 2015 - ieeexplore.ieee.org
2015 IFIP/IEEE International Symposium on Integrated Network …, 2015ieeexplore.ieee.org
In this paper, we focused on two prevailing architectural approaches for control-plane
virtualization in multi-tenant OpenFlow-ready SDN domains: The first permits the delegation
of a specific, non-overlapping part of the overall flowspace to each tenant OpenFlow
controller, exposing him/her the entire substrate topology; the second conceals the substrate
topology to tenants by abstracting resources and exposing user-controlled (tenant) Virtual
Networks (VNs). For both cases, we propose and analyze three control-plane slicing …
In this paper, we focused on two prevailing architectural approaches for control-plane virtualization in multi-tenant OpenFlow-ready SDN domains: The first permits the delegation of a specific, non-overlapping part of the overall flowspace to each tenant OpenFlow controller, exposing him/her the entire substrate topology; the second conceals the substrate topology to tenants by abstracting resources and exposing user-controlled (tenant) Virtual Networks (VNs). For both cases, we propose and analyze three control-plane slicing methods (domain, switch and port-wide), enforced by the management plane, that safeguard control-plane isolation among tenant VNs. Their effectiveness is assessed in terms of control-plane resources (number of flowspace policy rule entries, table lookup times and memory consumption) via measurements on a prototype implementation. To that end, we introduced and prototyped the Flowspace Slicing Policy (FSP) rule engine, an automated mechanism translating substrate management-plane policies into VN mapping control-plane rules. Our experiments, involving thousands of tenants VN requests over a variety of WAN-scale network topologies (e.g. Internet2/OSE3 and GÉANT), demonstrate that the port-wide slicing method is the most efficient in terms of tenant request acceptance ratio, within acceptable control-plane delays and memory consumption.
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