Paper Info
Title
Optimization in a self-stabilizing service discovery framework for large scale systems
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.
Year
DOI
Venue
2012
10.1007/978-3-642-33536-5_24
SSS'12 Proceedings of the 14th international conference on Stabilization, Safety, and Security of Distributed Systems
Keywords
DocType
Volume
self-stabilizing service discovery framework,self-stabilizing version,service discovery solution,p2p framework,self-stabilizing copif,collaborative pif,efficient experimental result,large scale system,correctness proof,hierarchical overlay structure,lexicographic placement table,services discovery,parallel
Conference
abs/1207.1337
Citations 
PageRank 
References 
0
0.34
22
Authors
4
Name
Order
Citations
PageRank
Eddy Caron185966.80
Florent Chuffart2304.73
Anissa Lamani311811.31
Franck Petit473660.02