Streaming and fully dynamic centralized algorithms for constructing and maintaining sparse spanners

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

    20 Scopus citations

    Abstract

    We present a streaming algorithm for constructing sparse spanners and show that our algorithm out-performs significantly the state-of-the-art algorithm for this task [20]. Specifically, the processing time-per-edge of our algorithm is drastically smaller than that of the algorithm of [20], and all other efficiency parameters of our algorithm are no greater (and some of them are strictly smaller) than the respective parameters for the state-of-the-art algorithm. We also devise a fully dynamic centralized algorithm maintaining sparse spanners. This algorithm has a very small incremental update time, and a non-trivial decremental update time. To our knowledge, this is the first fully dynamic centralized algorithm for maintaining sparse spanners that provides non-trivial bounds on both incremental and decre-mental update time for a wide range of stretch parameter t.

    Original languageEnglish
    Title of host publicationAutomata, Languages and Programming - 34th International Colloquium, ICALP 2007, Proceedings
    PublisherSpringer Verlag
    Pages716-727
    Number of pages12
    ISBN (Print)3540734198, 9783540734192
    DOIs
    StatePublished - 1 Jan 2007
    Event34th International Colloquium on Automata, Languages and Programming, ICALP 2007 - Wroclaw, Poland
    Duration: 9 Jul 200713 Jul 2007

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4596 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference34th International Colloquium on Automata, Languages and Programming, ICALP 2007
    Country/TerritoryPoland
    CityWroclaw
    Period9/07/0713/07/07

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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