Distributed computing on core–periphery networks: Axiom-based design

Chen Avin, Michael Borokhovich, Zvi Lotker, David Peleg

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


Inspired by social networks and complex systems, we propose a core–periphery network architecture that supports fast computation for many distributed algorithms, is robust and uses a linear 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 (such as MST, sparse matrix multiplication, and more). We also show the necessity of our axiom set: for networks that satisfy any subset of the axioms, the same efficiency cannot be guaranteed for any deterministic algorithm.

Original languageEnglish
Pages (from-to)51-67
Number of pages17
JournalJournal of Parallel and Distributed Computing
StatePublished - 1 Jan 2017


  • Axiom-base design
  • Core–periphery networks
  • Distributed computing
  • Minimum spanning tree

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence


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