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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/104
Title: Binary decision diagram based generation algorithm for large scale graph distribution
Authors: Tabib, Nacer 
Ilie, Jean-Michel 
Saidouni, Djamel Eddine 
Affiliations: Faculty of Information and Communication Technology (ICT) 
Faculty of Information and Communication Technology (ICT) 
Issue Date: Dec-2015
Conference: 7th International Conference on Modelling, Identification and Control (ICMIC) 
Abstract: 
This paper proposes an on the fly algorithm for graph distribution. The algorithm uses a new distributed method combined with the Binary Decision Diagram (BDD) for holding a global image of the system. Though, the proposed approach is a distributed algorithm, it uses little or none communication between the different nodes(sites). Hence it increases the fault tolerance of an unreliable network. In addition it preserves the workload balancing property. As a result, the proposed algorithm attempts to balance the workload between the different sites of the network and reduces as much as possible the inter-processors communications overhead result of reducing the inter-sites edges.
URI: http://dspace.univ-constantine2.dz/handle/123456789/104
DOI: 10.1109/ICMIC.2015.7409421
Appears in Collections:Conference Paper

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