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Published in:
2015 | OriginalPaper | Chapter
Accelerate Packet Classification Using GPU: A Case Study on HiCuts
Authors : Jintao Zheng, Dafang Zhang, Yanbiao Li, Guo Li
Published in: Computer Science and its Applications
Publisher: Springer Berlin Heidelberg
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Packet classification, as one of the key functions of modern routers and firewalls, has confronted with serious challenge in performance due to the increasing link rate and traffic size. Recently, GPU’s massive parallelism has been proved valuable in supporting high-speed packet classification. However, the GPU-based approach that works on the whole router platform with real packet I/O is less clear. In this paper, we firstly study how to accelerate HiCuts on GPU for packet classification. Then, we deploy a simple router platform with an optimized packet I/O framework to evaluate the end-to-end performance. On this basis, we conduct a series of experiments to demonstrate how GPU-based approach works on the router platform.