Francisco Prieto Castrillo

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This paper presents a multi-objective swarm optimization algorithm for scheduling experiments across the Grid. In a sense, MOABC (Multi-Objective Artificial Bee Colony) is implemented to optimize the scheduling of an experiment with dependent jobs respect to the minimization of its execution time and cost. The main advantage in this approach is that it(More)
Grid computing has become in recent years an important alternative to traditional parallel computing by providing computational capabilities at large scales. On the other hand, complex networks have shown to develop nontrivial topological features which can be adapted to the optimization of a wide range of problems. The present study uses this approach for(More)
The present paper describes the development of the CardioGrid framework into the Grid infrastructure. The core Grid services; Workload Management System (WMS), Data Management System and Grid Authentication have been implemented. Additionally, a web-based tool -the CardioGrid portal-has been developed to facilitate the user interaction with the Grid. As a(More)
Often, solutions to complex problems are found in nature. Swarm algorithms are capable of solving such complex problems by implementing patterns from nature. This patterns are found in a variety of scientific fields. In this paper, we discuss two swarm algorithms extracted from Biology and Physics, namely: Multiobjective Artificial Bee Colony (MOABC) and(More)
Scientists often have constraints from their experiments such as deadlines and budgets. For that reason, Job scheduling problem in Grid environments is not only important but also a challenging task. Both requirements - execution time and cost - are conflictive each other because faster resources usually involve higher costs. In this research, we compare(More)
The mapping of populations socio-economic well-being is highly constrained by the logistics of censuses and surveys. Consequently, spatially detailed changes across scales of days, weeks, or months, or even year to year, are difficult to assess; thus the speed of which policies can be designed and evaluated is limited. However, recent studies have shown the(More)