Brief announcement: Self-stabilizing resource discovery algorithm

Seda Davtyan, Kishori M. Konwar, Alexander A. Shvartsman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Distributed cooperative computing in networks involves marshaling collections of network nodes possessing the necessary computational resources. Before the willing nodes can act in a concerted way they must first discover one another. This is the general setting of the Resource Discovery Problem (RDP). This paper presents a self-stabilizing algorithm that solves RDP in a deterministic synchronous setting. The solution approach is formulated in terms of evolving knowledge graphs, where vertices represent the participating network nodes, and edges represent one node's knowledge about another. Ideally, the diameter of such a graph is one, i.e., each node knows all others. The algorithm works in rounds as it evolves the knowledge graph with the goal of reducing its diameter. This is accomplished by nodes sharing their knowledge through gossip messages. We prove that the algorithm is self-stabilizing, i.e., it tolerates arbitrary perturbations in the nodes' local states and is guaranteed to solve the problem once such failures subside. The algorithm has stabilization time of O(D), and it takes at most 4D + 4 complete round to stabilize, where D is the diameter of the initial knowledge graph, and the corresponding message complexity is O(|V| · D), where V is the set of participating nodes.

Original languageEnglish (US)
Title of host publicationPODC 2013 - Proceedings of the 2013 ACM Symposium on Principles of Distributed Computing
Pages116-118
Number of pages3
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 ACM Symposium on Principles of Distributed Computing, PODC 2013 - Montreal, QC, Canada
Duration: Jul 22 2013Jul 24 2013

Publication series

NameProceedings of the Annual ACM Symposium on Principles of Distributed Computing

Conference

Conference2013 ACM Symposium on Principles of Distributed Computing, PODC 2013
Country/TerritoryCanada
CityMontreal, QC
Period7/22/137/24/13

Keywords

  • Distributed Cooperation
  • Fault-Tolerance
  • Resource Discovery
  • Self-Stabilization

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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