10.1093/comnet/cnt005

Bibtex

Thesis CTDIA prize

The Academic Dalcimar Casanova won the second best dissertation in the field of Artificial Intelligence. The prize was awarded by the Special Committee on Artificial Intelligence of the Brazilian Computer Society (SBC-CEIA) during the 2010 Joint Conference.

To read more visit: VII Best MSc Dissertation/PhD Thesis Contest in Artificial Intelligence

Predicting Efficiency in Master–Slave Grid Computing Systems

Gonzalo Travieso and Carlos Antônio Ruggiero and Odemir Martinez Bruno and Luciando da Fontoura Costa

Journal of Complex Networks, ():, 2013

This work reports a quantitative analysis to predicting the efficiency of distributed computing running in three models of complex networks: Barabási–Albert, Erdos–Rényi and Watts–Strogatz. A master–slave computing model is simulated. A node is selected as master and distributes tasks among the other nodes (the clients). Topological measurements associated with the master node (e.g. its degree or [betwenness] betweenness centrality) are extracted and considered as predictors of the total execution time. It is found that the closeness centrality provides the best alternative. The effect of network size was also investigated.