What's new: Finding significant differences in network data streams

Graham Cormode, S. Muthukrishnan

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Monitoring and analyzing network traffic usage patterns is vital for managing IP Networks. An important problem is to provide network managers with information about changes in traffic, informing them about "what's new." Specifically, we focus on the challenge of finding significantly large differences in traffic: over time, between interfaces and between routers. We introduce the idea of a deltoid: an item that has a large difference, whether the difference is absolute, relative or variational. We present novel algorithms for finding the mo st significant deltoids in high-speed traffic data, and prove that they use small space, very small time per update, and are guaranteed to find significant deltoids with pre-specified accuracy. In experimental evaluation with real network traffic, our algorithms perform well and recover almost all deltoids. This is the first work to provide solutions capable of working over the data with one pass, at network traffic speeds.

    Original languageEnglish (US)
    Pages (from-to)1219-1232
    Number of pages14
    JournalIEEE/ACM Transactions on Networking
    Volume13
    Issue number6
    DOIs
    StatePublished - Dec 2005

    Keywords

    • Change detection
    • Data streams
    • Deltoids
    • Network data analysis

    ASJC Scopus subject areas

    • Software
    • Computer Science Applications
    • Computer Networks and Communications
    • Electrical and Electronic Engineering

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