hal-01163186
https://inria.hal.science/hal-01163186
https://inria.hal.science/hal-01163186/document
https://inria.hal.science/hal-01163186/file/article%20-vHAL.pdf
doi:10.1007/s00446-014-0221-8
[UNICE] Université Nice Sophia Antipolis
[UNIV-PARIS7] Université Denis Diderot - Paris VII
[CNRS] CNRS - Centre national de la recherche scientifique
[INRIA] INRIA - Institut National de Recherche en Informatique et en Automatique
[UNIV-ORLEANS] Université d'Orléans
[INRIA-SOPHIA] INRIA Sophia Antipolis - Méditerranée
[INRIA-ROCQ] INRIA Paris - Rocquencourt
[I3S] Laboratoire d'Informatique, Signaux et Systèmes de Sophia-Antipolis
[INRIASO] INRIA-SOPHIA
[OPENAIRE] OpenAIRE
[INRIA_TEST] INRIA - Institut National de Recherche en Informatique et en Automatique
[MSL] Modelisation Systemes Langages
[MSL-THESE] Modelisation Systemes Langages
[TESTALAIN1] TESTALAIN1
[INRIA-CHILE] INRIA Chile
[INRIA2] INRIA 2
[UNIV-COTEDAZUR] Université Côte d'Azur
[INSA-GROUPE] Groupe INSA
[INSA-CVL] INSA CENTRE VAL DE LOIRE
[UNIV-PARIS] Université Paris Cité
[ANR] ANR
Allowing each node to communicate only once in a distributed system: shared whiteboard models
Becker, Florent
Kosowski, Adrian
Matamala, Martin
Nisse, Nicolas
Rapaport, Ivan
Suchan, Karol
Todinca, Ioan
[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]
[INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT]
ART
In this paper we study distributed algorithms on massive graphs where links represent a particular relationship between nodes (for instance, nodes may represent phone numbers and links may indicate telephone calls). Since such graphs are massive they need to be processed in a distributed way. When computing graph-theoretic properties, nodes become natural units for distributed computation. Links do not necessarily represent communication channels between the computing units and therefore do not restrict the communication flow. Our goal is to model and analyze the computational power of such distributed systems where one computing unit is assigned to each node. Communication takes place on a whiteboard where each node is allowed to write at most one message. Every node can read the contents of the whiteboard and, when activated, can write one small message based on its local knowledge. When the protocol terminates its output is computed from the final contents of the whiteboard. We describe four synchronization models for accessing the whiteboard. We show that message size and synchronization power constitute two orthogonal hierarchies for these systems.We exhibit problems that separate these models, i.e., that can be solved in one model but not in a weaker one, even with increased message size. These problems are related to maximal independent set and connectivity. We also exhibit problems that require a given message size independently of the synchronization model.
2015
2015-06-12
en
Distributed Computing
Springer Verlag