Brief Announcement: Computing Power of Hybrid Models in Synchronous Networks - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Brief Announcement: Computing Power of Hybrid Models in Synchronous Networks

Résumé

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.
Fichier non déposé

Dates et versions

hal-04378967 , version 1 (08-01-2024)

Identifiants

Citer

Pierre Fraigniaud, Pedro Montealegre, Pablo Paredes, Ivan Rapaport, Martín Ríos-Wilson, et al.. Brief Announcement: Computing Power of Hybrid Models in Synchronous Networks. 36th International Symposium on Distributed Computing, DISC 2022, Oct 2022, Augusta, Georgia, United States. ⟨10.4230/LIPICS.DISC.2022.43⟩. ⟨hal-04378967⟩
3 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More