EFFECTIVE NETWORKS FOR REAL-TIME DISTRIBUTED PROCESSING
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2011
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Resumo |
This paper applies the concepts and methods of complex networks to the development of models and simulations of master-slave distributed real-time systems by introducing an upper bound in the allowable delivery time of the packets with computation results. Two representative interconnection models are taken into account: Uniformly random and scale free (Barabasi-Albert), including the presence of background traffic of packets. The obtained results include the identification of the uniformly random interconnectivity scheme as being largely more efficient than the scale-free counterpart. Also, increased latency tolerance of the application provides no help under congestion. Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) FAPESP[05/00587-5] CNPq[301303/06-1] Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) |
Identificador |
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, v.24, n.1, p.39-50, 2011 1009-6124 http://producao.usp.br/handle/BDPI/29822 10.1007/s11424-011-8171-8 |
Idioma(s) |
eng |
Publicador |
SPRINGER HEIDELBERG |
Relação |
Journal of Systems Science & Complexity |
Direitos |
restrictedAccess Copyright SPRINGER HEIDELBERG |
Palavras-Chave | #Complex networks #distributed computing #real-time #COMPLEX NETWORKS #CONGESTION #FLOW #Mathematics, Interdisciplinary Applications |
Tipo |
article original article publishedVersion |