ACM Transactions on Computer Systems (TOCS)
Flexible Control of Parallelism in a Multiprocessor PC Router
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Controlling parallelism in a multicore software router
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SSLShader: cheap SSL acceleration with commodity processors
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The case for VOS: the vector operating system
HotOS'13 Proceedings of the 13th USENIX conference on Hot topics in operating systems
A case for NUMA-aware contention management on multicore systems
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Toward predictable performance in software packet-processing platforms
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
XIA: efficient support for evolvable internetworking
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
Design and implementation of a consolidated middlebox architecture
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
Netmap: a novel framework for fast packet I/O
USENIX ATC'12 Proceedings of the 2012 USENIX conference on Annual Technical Conference
Fast and flexible: parallel packet processing with GPUs and click
ANCS '13 Proceedings of the ninth ACM/IEEE symposium on Architectures for networking and communications systems
NetVM: high performance and flexible networking using virtualization on commodity platforms
NSDI'14 Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation
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The Click modular router has been one of the most popular software router platforms for rapid prototyping and new protocol development. Unfortunately, its internal architecture has not caught up with recent hardware advancements, and the performance remains sub-optimal in high-speed networks despite its benefit of flexible module composition. In this work, we identify the performance bottlenecks of the existing Click router and extend it to scale with modern computer systems. Our improvements focus on both I/O and computation batching, and include various optimizations for multi-core systems and multi-queue network cards. We find that these techniques improve the performance by almost a factor of 10, and the maximum throughput reaches 28 Gbps of minimum-sized IPv4 packet forwarding speed on a single machine.