Performance comparison between the Click Modular Router and the NetFPGA

It is possible to forward minimum-sized packets at rates of hundreds of Mbps using commodity hardware and Linux. We had a preference for the Click Modular Router platform due its flexibility and the fact that it claimed to have equal or higher performance than native forwarding if used with its polling drivers. Moreover, the NetFPGA is an open networking platform accelerator that enables researchers and instructors to build working prototypes of high-speed, hardware-accelerated networking systems. NetFPGA reference designs comprised in the system include an IPv4 router, an Ethernet switch, a four-port NIC, and SCONE (Software Component of NetFPGA). Researchers have used the platform to build advanced network flow processing systems. We have followed the RFC1242 - Benchmarking Terminology for Network Interconnection Devices - and the RFC2544 - Benchmarking Methodology for Network Interconnection Devices - in order to define the specific set of tests to use to describe the performance characteristics of the two routers. We have also shown a test comparison between the NetFPGA and the Click router about a file transfer using the FTP and the HTTP protocol.Overall, the NetFPGA router performance outperforms the Click router performance

Programming language optimizations for modular router configurations

Networking systems such as Ensemble,the x-kernel,Scout, and Click achieve flexibility by building routers and other packet processors from modular components. Unfortunately, component designs are often slower than purposebuilt code, and routers in particular have stringent efficiency requirements. This paper addresses the efficiency problems of one component-based router, Click, through optimization tools inspired in part by compiler optimization passes. This pragmatic approach can result in significant performance improvements; for example, the combination of three optimizations reduces the amount of CPU time Click requires to process a packet in a simple IP router by 34%. We present several optimization tools, describe how those tools affected the design of Click itself, and present detailed evaluations of Click’s performance with and without optimization.