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)
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)
The mapping of populations socioeconomic 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)
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 non-trivial topological features which can be adapted to the optimization of a wide range of problems. The present study uses this approach for(More)
Grid computing environments are distributed systems composed by heterogeneous and geographically distributed resources. This type of systems mainly emerged to satisfy the increasing computing power demand within the scientific community. Despite the advantages of such paradigm, there are still several challenges related to the discovery, monitoring and(More)