• 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 ...