Design and performance analysis of a DRAM-based statistics counter array architecture
Haiquan Zhao, Hao Wang, Bill Lin, Jun Jim Xu · 2009
The problem of maintaining efficiently a large number (say millions) of statistics counters that need to be updated at very high speeds (e.g. 40 Gb/s) has received considerable research attention in recent years. This problem arises in a variety of router management and data streaming applications where large arrays of counters are used to track various network statistics and implement various counting sketches. It proves too costly to store such large counter arrays entirely in SRAM while DRAM is viewed as too slow for providing wirespeed updates at such high speeds.