papers AI Learner
The Github is limit! Click to go to the new site.

High Performance Architecture for Flow-Table Lookup in SDN on FPGA

2018-01-02
Rashid Hatamia, Hossein Bahramgiria, Ahmad Khonsari

Abstract

We propose Range-based Ternary Search Tree (RTST), a tree-based approach for flow-table lookup in SDN network. RTST builds upon flow-tables in SDN switches to provide a fast lookup among flows. We present a parallel multi-pipeline architecture for implementing RTST that benefits from high throughput and low latency. The proposed RTST and architecture achieve a memory efficiency of 1 byte of memory for each byte of flow. We also present a set of techniques to support dynamic updates. Experimental results show that RTST can be used to improve the performance of flow-lookup. It achieves a throughput of 670 Million Packets Per Second (MPPS), for a 1 K 15-tuple flow-table, on a state-of-the-art FPGA.

Abstract (translated by Google)
URL

https://arxiv.org/abs/1801.00840

PDF

https://arxiv.org/pdf/1801.00840


Similar Posts

Comments