Um mecanismo de tolerância a falhas em execuções paralelas de workflows apoiadas por banco de dados. Miranda, P. P.; Souza, R.; and Mattoso, M. Ph.D. Thesis, Federal University of Rio de Janeiro, 2015.
abstract   bibtex   
Due to the increasing demand for computing power required by scientific workflows, many of them are managed by Scientific Workflow Manage ment Systems (SWfMSs) that use parallel techniques in high performance computing environments with a large number of computer nodes. As the number of used computer nodes grows, the probability of at least one of them fail during the scientific workflow running becomes higher. In this scenario, it is essential that SWfMSs implement fault tolerance mechanisms. This work proposes a fault tolerance mechanism in SGWfCs collecting workflow execution data and storing them in provenance databases at runtime, and implement this mechanism in SciCumulus/C² on a Distributed Database System (d-SCC)
@phdthesis{miranda_um_2015,
	type = {Bachelor {Thesis}},
	title = {Um mecanismo de tolerância a falhas em execuções paralelas de workflows apoiadas por banco de dados},
	abstract = {Due to the increasing demand for computing power required by scientific workflows, many of them are managed by Scientific Workflow Manage ment Systems (SWfMSs) that use parallel techniques in high performance computing environments with a large number of computer nodes. As the number of used computer nodes grows, the probability of at least one of them fail during the scientific workflow running becomes higher. In this scenario, it is essential that SWfMSs implement fault tolerance mechanisms. This work proposes a fault tolerance mechanism in SGWfCs collecting workflow execution data and storing them in provenance databases at runtime, and implement this mechanism in SciCumulus/C² on a Distributed Database System (d-SCC)},
	school = {Federal University of Rio de Janeiro},
	author = {Miranda, Paiva Pedro and Souza, Renan and Mattoso, Marta},
	year = {2015}
}
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