Synchronization landscapes in small-world-connected computer networks

H. Guclu, G. Korniss, M. A. Novotny, Z. Toroczkai, and Z. Rácz
Phys. Rev. E 73, 066115 – Published 13 June 2006

Abstract

Motivated by a synchronization problem in distributed computing we studied a simple growth model on regular and small-world networks, embedded in one and two dimensions. We find that the synchronization landscape (corresponding to the progress of the individual processors) exhibits Kardar-Parisi-Zhang-like kinetic roughening on regular networks with short-range communication links. Although the processors, on average, progress at a nonzero rate, their spread (the width of the synchronization landscape) diverges with the number of nodes (desynchronized state) hindering efficient data management. When random communication links are added on top of the one and two-dimensional regular networks (resulting in a small-world network), large fluctuations in the synchronization landscape are suppressed and the width approaches a finite value in the large system-size limit (synchronized state). In the resulting synchronization scheme, the processors make close-to-uniform progress with a nonzero rate without global intervention. We obtain our results by “simulating the simulations,” based on the exact algorithmic rules, supported by coarse-grained arguments.

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  • Received 26 December 2005

DOI:https://doi.org/10.1103/PhysRevE.73.066115

©2006 American Physical Society

Authors & Affiliations

H. Guclu* and G. Korniss

  • Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York, 12180-3590 USA

M. A. Novotny

  • Department of Physics and Astronomy, and Center for Computational Sciences, Mississippi State University, P. O. Box 5167, Mississippi State, Mississippi, 39762-5167 USA

Z. Toroczkai

  • Center for Nonlinear Studies, Theoretical Division, Los Alamos National Laboratory, MS-B258, Los Alamos, New Mexico 87545 USA

Z. Rácz

  • Institute for Theoretical Physics–HAS, Eötvös University, Pázmány sétány 1/a, 1117 Budapest, Hungary

  • *Permanent address: Center for Nonlinear Studies, Theoretical Division, Los Alamos National Laboratory, MS-B258, Los Alamos, NM 87545 USA.

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Issue

Vol. 73, Iss. 6 — June 2006

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