Algorithmica

, Volume 66, Issue 1, pp 51–86 | Cite as

Engineering a New Algorithm for Distributed Shortest Paths on Dynamic Networks

  • Serafino Cicerone
  • Gianlorenzo D’Angelo
  • Gabriele Di Stefano
  • Daniele Frigioni
  • Vinicio Maurizio
Article

Abstract

We study the problem of dynamically updating all-pairs shortest paths in a distributed network while edge update operations occur to the network. We consider the practical case of a dynamic network in which an edge update can occur while one or more other edge updates are under processing. A node of the network might be affected by a subset of these changes, thus being involved in the concurrent executions related to such changes.

In this paper, we provide a new algorithm for this problem, and experimentally compare its performance with respect to those of the most popular solutions in the literature: the classical distributed Bellman-Ford method, which is still used in real network and implemented in the RIP protocol, and DUAL, the Diffuse Update ALgorithm, which is part of CISCO’s widely used EIGRP protocol. As input to the algorithms, we used both real-world and artificial instances of the problem. The experiments performed show that the space occupancy per node required by the new algorithm is smaller than that required by both Bellman-Ford and DUAL. In terms of messages, the new algorithm outperforms both Bellman-Ford and DUAL on the real-world topologies, while on artificial instances, the new algorithm sends a number of messages that is more than that of DUAL and much smaller than that of Bellman-Ford.

Keywords

Shortest paths Distributed networks Dynamic algorithms Concurrent update Experimental analysis 

Notes

Acknowledgements

Support for the IPv4 Routed/24 Topology Dataset is provided by National Science Foundation, US Department of Homeland Security, WIDE Project, Cisco Systems, and CAIDA.

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Serafino Cicerone
    • 1
  • Gianlorenzo D’Angelo
    • 2
  • Gabriele Di Stefano
    • 1
  • Daniele Frigioni
    • 1
  • Vinicio Maurizio
    • 1
  1. 1.Department of Electrical and Information EngineeringUniversity of L’AquilaL’AquilaItaly
  2. 2.MASCOTTE Project I3S (CNRS/UNSA)/INRIASophia–Antipolis CedexFrance

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