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Optimization in a Self-Stabilizing Service Discovery Framework for Large Scale Systems
| Venue: | in "14th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2012 |
| Citations: | 2 - 0 self |
BibTeX
@INPROCEEDINGS{Caron_optimizationin,
author = {Eddy Caron and Florent Chuffart and Anissa Lamani and Franck Petit},
title = {Optimization in a Self-Stabilizing Service Discovery Framework for Large Scale Systems},
booktitle = {in "14th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2012},
year = {},
pages = {239--252}
}
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Abstract
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. hal-00714775, version 1- 5 Jul 2012 1
Keyphrases
large scale system self-stabilizing service discovery framework distributed p2p framework self-stabilizing copif collaborative pif unstable environment efficient experimental result service discovery solution distributed lexicographic placement table previous work large-scale distributed system hierarchical overlay structure self-stabilizing version correctness proof service discovery key requirement
