Authors: Liquori, Luigi
Tedeschi, Cédric
Vanni, Laurent
Bongiovanni, Francesco
Ciancaglini, Vincenzo
Marinković, Bojan 
Affiliations: Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Synapse: A scalable protocol for interconnecting heterogeneous overlay networks
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 6091 LNCS
First page: 67
Last page: 82
Conference: 9th International IFIP-TC6 Networking Conference, NETWORKING 2010; Chennai; India; 11 May 2010 through 15 May 2010
Issue Date: 14-Jun-2010
Rank: M23
ISBN: 978-3-642-12962-5
ISSN: 0302-9743
DOI: 10.1007/978-3-642-12963-6_6
Abstract: 
This paper presents Synapse, a scalable protocol for information retrieval over the inter-connection of heterogeneous overlay networks. Applications on top of Synapse see those intra-overlay networks as a unique inter-overlay network. Scalability in Synapse is achieved via co-located nodes, i.e. nodes that are part of multiple overlay networks at the same time. Co-located nodes, playing the role of neural synapses and connected to several overlay networks, allow a larger search area and provide alternative routing. Synapse can either work with "open" overlays adapting their protocol to synapse interconnection requirements, or with "closed" overlays that will not accept any change to their protocol. Results from simulation and experiments show that Synapse is scalable, with a communication and state overhead scaling similarly as the networks interconnected. Thanks to alternate routing paths, Synapse also gives a practical solution to network partitions. We precisely capture the behavior of traditional metrics of overlay networks within Synapse and present results from simulations as well as some actual experiments of a client prototype on the Grid'5000 platform. The prototype developed implements the Synapse protocol in the particular case of the interconnection of many Chord overlay networks.
Keywords: Information retrieval | Overlay networks | Peer-to-peer
Publisher: Springer Link

Show full item record

SCOPUSTM   
Citations

12
checked on Apr 15, 2024

Page view(s)

36
checked on Apr 15, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.