Title :
BRICK: A Novel Exact Active Statistics Counter Architecture
Author :
Hua, Nan ; Xu, Jun ; Lin, Bill ; Zhao, Haiquan
Author_Institution :
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
fDate :
6/1/2011 12:00:00 AM
Abstract :
In this paper, we present an exact active statistics counter architecture called Bucketized Rank Indexed Counters (BRICK) that can efficiently store per-flow variable-width statistics counters entirely in SRAM while supporting both fast updates and lookups (e.g., 40-Gb/s line rates). BRICK exploits statistical multiplexing by randomly bundling counters into small fixed-size buckets and supports dynamic sizing of counters by employing an innovative indexing scheme called rank indexing. Experiments with Internet traces show that our solution can indeed maintain large arrays of exact active statistics counters with moderate amounts of SRAM.
Keywords :
Internet; SRAM chips; statistical multiplexing; stochastic processes; BRICK; Internet trace; SRAM; active statistics counter architecture; fixed-size bucket; statistical multiplexing; stochastic processes; Arrays; Indexing; Program processors; Radiation detectors; Random access memory; Router; statistics counter;
Journal_Title :
Networking, IEEE/ACM Transactions on
DOI :
10.1109/TNET.2011.2111461