Gustavo Sousa Pavani,  Rogério L. Iope,  Helio Waldman,  Líria M. Sato. 

Scheduling in Grid computing environments is a complex task because of the unique characteristics and demands exhibited by those systems. This work proposes the use of classes of service to obtain a more efficient way for Grid resource discovery and allocation. By using ants that continuously wander in the network probing for Grid resources, we designed a system capable of a joint optimization of lightpath routing and scheduling in Lambda Grid systems, without the need of a resource broker, considering the heterogeneity of resources with multiple users competing for them. The results show that the proposed ant-based system can effectively be used as a Grid scheduler over optical networks.

http://www.lbd.dcc.ufmg.br:8080/colecoes/sbrc/2008/046.pdf

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