Faster and More Accurate Measurement through Additive-Error Counters

Ran Ben Basat, Gil Einziger, Michael Mitzenmacher, Shay Vargaftik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations


Counters are a fundamental building block for networking applications such as load balancing, traffic engineering, and intrusion detection, which require estimating flow sizes and identifying heavy hitter flows. Existing works suggest replacing counters with shorter multiplicative error estimators that improve the accuracy by fitting more of them within a given space. However, such estimators impose a computational overhead that degrades the measurement throughput. Instead, we propose additive error estimators, which are simpler, faster, and more accurate when used for network measurement. Our solution is rigorously analyzed and empirically evaluated against several other measurement algorithms on real Internet traces. For a given error target, we improve the speed of the uncompressed solutions by 5×-30×, and the space by up to 4×. Compared with existing state-of-the-art estimators, our solution is 9×-35× faster while being considerably more accurate.

Original languageEnglish
Title of host publicationINFOCOM 2020 - IEEE Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers
Number of pages10
ISBN (Electronic)9781728164120
StatePublished - 1 Jul 2020
Event38th IEEE Conference on Computer Communications, INFOCOM 2020 - Toronto, Canada
Duration: 6 Jul 20209 Jul 2020

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X


Conference38th IEEE Conference on Computer Communications, INFOCOM 2020

ASJC Scopus subject areas

  • General Computer Science
  • Electrical and Electronic Engineering


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