Brief Announcement: Computing Power of Hybrid Models in Synchronous Networks

Medientyp: Sonstige Veröffentlichung; E-Artikel; Elektronischer Konferenzbericht

Titel: Brief Announcement: Computing Power of Hybrid Models in Synchronous Networks

Beteiligte: Fraigniaud, Pierre [Verfasser:in]; Montealegre, Pedro [Verfasser:in]; Paredes, Pablo [Verfasser:in]; Rapaport, Ivan [Verfasser:in]; Ríos-Wilson, Martín [Verfasser:in]; Todinca, Ioan [Verfasser:in]

Erschienen: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022

Sprache: Englisch

DOI: https://doi.org/10.4230/LIPIcs.DISC.2022.43

Schlagwörter: synchronous networks ; LOCAL ; CONGEST ; hybrid model ; Broadcast Congested Clique

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Beschreibung: During the last two decades, a small set of distributed computing models for networks have emerged, among which LOCAL, CONGEST, and Broadcast Congested Clique (BCC) play a prominent role. We consider hybrid models resulting from combining these three models. That is, we analyze the computing power of models allowing to, say, perform a constant number of rounds of CONGEST, then a constant number of rounds of LOCAL, then a constant number of rounds of BCC, possibly repeating this figure a constant number of times. We specifically focus on 2-round models, and we establish the complete picture of the relative powers of these models. That is, for every pair of such models, we determine whether one is (strictly) stronger than the other, or whether the two models are incomparable.

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