DocumentCode :
1465605
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
Volume :
19
Issue :
3
fYear :
2011
fDate :
6/1/2011 12:00:00 AM
Firstpage :
670
Lastpage :
682
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;
fLanguage :
English
Journal_Title :
Networking, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1063-6692
Type :
jour
DOI :
10.1109/TNET.2011.2111461
Filename :
5724260
Link To Document :
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