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Q-MAX: A Unified Way to Improve Network Measurement Throughput

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

    Abstract

    Network measurement is an essential building block for a variety of network applications such as traffic engineering, quality of service, load-balancing and intrusion detection. Maintaining a per-flow state is often impractical, and modern systems use complex data structures that are updated by each incoming packet. Thus, a major challenge is designing measurement applications that operate at line speed. This work provides a unified mechanism that improves the update time of a variety of measurement algorithms. We do so by identifying and optimizing a common algorithmic pattern that we call q-MAX. The goal is to maintain the largest q values in a stream of packets. Our algorithm replaces standard data structures such as heaps and skip lists, and accelerate the performance of measurement algorithms.

    Original languageEnglish
    Title of host publicationINFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019
    PublisherInstitute of Electrical and Electronics Engineers
    Pages1011-1012
    Number of pages2
    ISBN (Electronic)9781728118789
    DOIs
    StatePublished - 1 Apr 2019
    Event2019 INFOCOM IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019 - Paris, France
    Duration: 29 Apr 20192 May 2019

    Publication series

    NameINFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019

    Conference

    Conference2019 INFOCOM IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019
    Country/TerritoryFrance
    CityParis
    Period29/04/192/05/19

    ASJC Scopus subject areas

    • Hardware and Architecture
    • Signal Processing
    • Information Systems and Management
    • Safety, Risk, Reliability and Quality
    • Computer Networks and Communications

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