Listar GI-GAC - Congresos, conferencias, etc. por autor "González, Patricia"
Mostrando ítems 1-5 de 5
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Evaluation of Parallel Differential Evolution Implementations on MapReduce and Spark
Teijeiro, Diego; Pardo, Xoán C.; Penas, David R.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Springer, 2017-09)[Abstract] Global optimization problems arise in many areas of science and engineering, computational and systems biology and bioinformatics among them. Many research efforts have focused on developing parallel metaheuristics ... -
Extending the Globus Information Service with the Common Information Model
Díaz, Iván; Fernández, G.; González, Patricia; Martín, María J.; Touriño, Juan (IEEE Computer Society, 2011-07-14)[Abstract] The need of task-adapted and complete information for the management of resources is a well known issue in Grid computing. Globus Toolkit 4 (GT4) includes the Monitoring and Discovery System component (MDS4) to ... -
Integrating the common information model with MDS4
Díaz, Iván; Fernández, G.; Martín, María J.; González, Patricia; Touriño, Juan (IEEE Computer Society, 2008-10-31)[Abstract] The management and monitoring of static and dynamic resources is a key issue in grid environments. Information models are an abstract representation of software and hardware aspects of these resources, a common ... -
Multimethod Optimization for Reverse Engineering of Complex Biological Networks
González, Patricia; Penas, David R.; Pardo, Xoán C.; Banga, Julio R.; Doallo, Ramón (Association for Computing Machinery, 2018-09)[Abstract] Optimization problems appears in different areas of science and engineering. This paper considers the general problem of reverse engineering in computational biology by means of mixed-integer nonlinear dynamic ... -
Using the Cloud for Parameter Estimation Problems: Comparing Spark vs MPI with a Case-Study
González, Patricia; Pardo, Xoán C.; Penas, David R.; Teijeiro, Diego; Banga, Julio R.; Doallo, Ramón (Institute of Electrical and Electronics Engineers, 2017-07-13)[Abstract] Systems biology is an emerging approach focused in generating new knowledge about complex biological systems by combining experimental data with mathematical modeling and advanced computational techniques. Many ...