BRICK: a novel exact active statistics counter architecture

  • Authors:
  • Nan Hua;Bill Lin;Jun (Jim) Xu;Haiquan (Chuck) Zhao

  • Affiliations:
  • Georgia Tech;UCSD;Georgia Tech;Georgia Tech

  • Venue:
  • Proceedings of the 4th ACM/IEEE Symposium on Architectures for Networking and Communications Systems
  • Year:
  • 2008

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Abstract

In this paper, we present an exact active statistics counter architecture called BRICK (Bucketized Rank Indexed Counters) 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.