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Distributed Computing on Core-Periphery Networks: Axiom-Based Design

  • Chen Avin
  • Michael Borokhovich
  • Zvi Lotker
  • David Peleg
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8573)

Abstract

Inspired by social networks and complex systems, we propose a core-periphery network architecture that supports fast computation for many distributed algorithms and is robust and efficient in number of links. Rather than providing a concrete network model, we take an axiom-based design approach. We provide three intuitive (and independent) algorithmic axioms and prove that any network that satisfies all axioms enjoys an efficient algorithm for a range of tasks (e.g., MST, sparse matrix multiplication, etc.). We also show the minimality of our axiom set: for networks that satisfy any subset of the axioms, the same efficiency cannot be guaranteed for any deterministic algorithm.

Keywords

Minimum Span Tree Sparse Matrix Outgoing Edge Core Node Minimum Span Tree Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Chen Avin
    • 1
  • Michael Borokhovich
    • 1
  • Zvi Lotker
    • 1
  • David Peleg
    • 2
  1. 1.Ben-Gurion University of the NegevIsrael
  2. 2.The Weizmann InstituteIsrael

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