A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is
Detecting heavy hitters is essential for many network management and security applications in the Internet and in data centers. Heavy hitter is the entity in a data stream whose amount of activity, such as bandwidth consumption or number of connections is higher than a given threshold. In this work, we propose a pipelined architecture for an online heavy hitter detector on FPGA. It also reports the top K heavy hitters. We design an application specific data forwarding mechanism to handle datadoi:10.1109/reconfig.2013.6732297 dblp:conf/reconfig/TongP13 fatcat:rdifnekn4rgmllhc5z757ijqci