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.
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Caron, E., Chuffart, F., Lamani, A., Petit, F. (2012). Optimization in a Self-stabilizing Service Discovery Framework for Large Scale Systems. In: Richa, A.W., Scheideler, C. (eds) Stabilization, Safety, and Security of Distributed Systems. SSS 2012. Lecture Notes in Computer Science, vol 7596. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33536-5_24
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DOI: https://doi.org/10.1007/978-3-642-33536-5_24
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