Optimization in a self-stabilizing service discovery framework for large scale systems

  • Authors:
  • Eddy Caron;Florent Chuffart;Anissa Lamani;Franck Petit

  • Affiliations:
  • LIP Laboratory, UMR CNRS - ENS Lyon - INRIA - UCB Lyon 5668, University of Lyon, France;LIP Laboratory, UMR CNRS - ENS Lyon - INRIA - UCB Lyon 5668, University of Lyon, France;MIS Lab., Université de Picardie Jules Verne, France;LIP6 CNRS UMR 7606, INRIA - UPMC Sorbonne Universities, France

  • Venue:
  • SSS'12 Proceedings of the 14th international conference on Stabilization, Safety, and Security of Distributed Systems
  • Year:
  • 2012

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Abstract

Ability to find and get services is a key requirement in the development of large-scale distributed systems. We consider dynamic and unstable environments, namely Peer-to-Peer (P2P) systems. In previous work, we designed a service discovery solution called Distributed Lexicographic Placement Table (Dlpt), based on a hierarchical overlay structure. A self-stabilizing version was given using the Propagation of Information with Feedback (PIF) paradigm. In this paper, we introduce the self-stabilizing CoPIF (for Collaborative PIF) scheme. An algorithm is provided with its correctness proof. We use this approach to improve a distributed P2P framework designed for the services discovery. Significantly efficient experimental results are presented.