期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2012
卷号：3
期号：1
页码：475-479
出版社：Technopark Publications
摘要：Accurate and real-time traffic measurement is becoming increasingly critical for large variety of applications including accounting, bandwidth provisioning and security analysis. Existing network measurement techniques, however, have major difficulty dealing with large number of flows in today’s high-speed networks and offer limited scalability with increasing link speeds. Consequently, the current state of the art solutions have to resort to conservative sampling of the traffic stream and/or accounting for only a few frequent flows that often fail to provide accurate estimates of traffic features. In this paper, we present a novel hardware-software codesigned solution that is programmable and adaptable to runtime situations offering high-throughputs that can easily match current link-speeds. The key to our design is orthogonalization of memory lookups from traffic measurements through our query-driven measurement scheme. We have prototyped our approach on a Xilinx platform using Microblaze soft-core processors integrated with Virtex-II Pro FPGA fabric. We demonstrate the scalability of our architecture and also compare it with a recent offline (non realtime) sampling-based software alternative. The comparison shows that our architecture performs orders better in terms of speed and throughput even while being used as an offline solution
