Effective networks for real-time distributed processing
| dc.creator | Travieso, Gonzalo | |
| dc.creator | Costa, Luciano da Fontoura | |
| dc.date | 2006-12-13 | |
| dc.date | 2007-02-09 | |
| dc.date.accessioned | 2026-07-07T07:45:38Z | |
| dc.date.available | 2026-07-07T07:45:38Z | |
| dc.description | The problem of real-time processing is one of the most challenging current issues in computer sciences. Because of the large amount of data to be treated in a limited period of time, parallel and distributed systems are required, whose performance depends on a series of factors including the interconnectivity of the processing elements, the application model and the communication protocol. Given their flexibility for representing and modeling natural and human-made systems (such as the Internet and WWW), complex networks have become a primary choice in many research areas. The current work presents how the concepts and methods of complex networks can be used to develop realistic models and simulations of distributed real-time system while taking into account two representative interconnection models: uniformly random and scale free (Barabasi-Albert), including the presence of background traffic of messages. The interesting obtained results include the identification of the uniformly random interconnectivity scheme as being largely more efficient than the scale-free counterpart. | |
| dc.description | 9 pages, 4 figures | |
| dc.identifier | https://arxiv.org/abs/physics/0612134 | |
| dc.identifier | http://arxiv.org/abs/physics/0612134 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/123596 | |
| dc.subject | Physics and Society | |
| dc.subject | Distributed, Parallel, and Cluster Computing | |
| dc.subject | Computational Physics | |
| dc.title | Effective networks for real-time distributed processing | |
| dc.type | text |