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Competitive clustering of stochastic communication patterns on a ring

Authors: Chen Avin; Louis Cohen; Mahmoud Parham; Stefan Schmid;

Competitive clustering of stochastic communication patterns on a ring

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
Austria
Keywords

Network design and communication in computer systems, online algorithms, MIGRATION, Repartition, Randomized algorithms, Online algorithms, Randomization, 102025 Distributed systems, randomization, migration, Clustering, repartition, Online algorithms; streaming algorithms, ONLINE BIN PACKING, 102025 Verteilte Systeme, Migration, Performance evaluation, queueing, and scheduling in the context of computer systems, clustering

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    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Average
Green
hybrid