Aumentando a confiabilidade dos resultados em grades computacionais com recursos públicos
Abstract
Grid computing environments with public resources are used to process large problems taking advantage of many personal computers connected to the Internet. Some extra security services are required in this kind of environment to improve the quality of the results obtained. This document presents a method, which is based on task replication, to verify the correctness of the results given by the personal computers.References
Fechner, B., Hoenig, U., Keller, J., and Schiffmann, W. (2008). Fault-tolerant static scheduling for grids. Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on, Rome, Italy.
Sarmenta, L. F. G. (2001). Studying sabotage-tolerance mechanisms through web-based parallel parametric analysis and monte carlo simulation. ACM/IEEE Int’l Symposium on Cluster Computing and the Grid (CCGrid 2001), Brisbane, Australia.
Sarmenta, L. F. G. (2001). Studying sabotage-tolerance mechanisms through web-based parallel parametric analysis and monte carlo simulation. ACM/IEEE Int’l Symposium on Cluster Computing and the Grid (CCGrid 2001), Brisbane, Australia.
Published
2009-09-28
How to Cite
ALMEIDA, Leonardo Laface de; HENRIQUES, Marco Aurélio Amaral.
Aumentando a confiabilidade dos resultados em grades computacionais com recursos públicos. In: EXTENDED ABSTRACTS - BRAZILIAN SYMPOSIUM ON CYBERSECURITY (SBSEG), 9. , 2009, Campinas/SP.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2009
.
p. 255-256.
DOI: https://doi.org/10.5753/sbseg_estendido.2009.20643.
