Abstract

Network virtualization has gained much popularity with the advent of datacenter networking. The hardware aspect of network virtualization, router virtualization , allows network service providers to consolidate network hardware, reducing equipment cost and management overhead. Several approaches have been proposed to achieve router virtualization to support several virtual networks on a single hardware platform. However, their performance has not been analyzed quantitatively to understand the benefits of each approach. In this work, we perform a comprehensive analysis of performance of these approaches on Field Programmable Gate Array (FPGA) with respect to memory consumption, throughput, and power consumption. Generalized versions of virtualization approaches are evaluated based on post place-and-route results on a state-of-the-art FPGA. Grouping of routing tables is proposed as a novel approach to improve scalability (i.e., the number of virtual networks hosted on a single chip) of virtual routers on FPGA with respect to memory requirement. Further, we employ floor-planning techniques to efficiently utilize chip resources and achieve high performance for virtualized, pipelined architectures, resulting in 1.6× speedup on the average compared with the non-floor-planned approach. The results indicate that the proposed solution is able to support 100+ and 50 virtual routers per chip in the near-best and near-worst case scenarios, while operating at 20+ Gbps rates.

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