Search results for "Distributed"
showing 10 items of 1260 documents
Using Blockchain in Digitalizing Enterprise Legacy Systems: An Experience Report
2021
Blockchain technology and distributed ledger technology (DLT) offer a secure, distributed, and tamper-proof way to store and exchange information. However, apart from standard cryptocurrency-based networks, innovations and process improvements based on the blockchain technology have mostly remained on the conceptualizing stage and have not yet reached mass adoption. There is a high demand for practical experiences from developing blockchain and DLT based systems in various domains outside FinTech. This work seeks to contribute to this gap by presenting real-world experiences from developing a proof of concept for automatizing conditional payments in social benefits and healthcare domains. W…
Planificación de la producción en un entorno multifábrica [Dataset]
2018
Las cadenas de suministro en las que se insertan los procesos de producción son cada vez más complejas. Las empresas que cuentan con fábricas en diferentes localizaciones reparten entre ellas la fabricación de piezas y componentes. E incluso llegan a externalizar el montaje de los productos finales, enviando sus componentes a otras plantas para su montaje final. Surgen, por tanto, nuevos problemas de planificación y programación de la producción inherentes a esta forma de producción descentralizada. Se ha de asignar la producción de cada planta, programar su producción y, llegados el caso, planificar los envíos a la planta en la que se realizará el montaje. Si bien es cierto que cada uno de…
Planificación de la producción en un entorno multifábrica
2018
Las cadenas de suministro en las que se insertan los procesos de producción son cada vez más complejas. Las empresas que cuentan con fábricas en diferentes localizaciones reparten entre ellas la fabricación de piezas y componentes. E incluso llegan a externalizar el montaje de los productos finales, enviando sus componentes a otras plantas para su montaje final. Surgen, por tanto, nuevos problemas de planificación y programación de la producción inherentes a esta forma de producción descentralizada. Se ha de asignar la producción de cada planta, programar su producción y, llegados el caso, planificar los envíos a la planta en la que se realizará el montaje. Si bien es cierto que cada uno de…
Planificación de la producción en un entorno multifábrica
2018
Las cadenas de suministro en las que se insertan los procesos de producción son cada vez más complejas. Las empresas que cuentan con fábricas en diferentes localizaciones reparten entre ellas la fabricación de piezas y componentes. E incluso llegan a externalizar el montaje de los productos finales, enviando sus componentes a otras plantas para su montaje final. Surgen, por tanto, nuevos problemas de planificación y programación de la producción inherentes a esta forma de producción descentralizada. Se ha de asignar la producción de cada planta, programar su producción y, llegados el caso, planificar los envíos a la planta en la que se realizará el montaje. Si bien es cierto que cada uno de…
"Table 29" of "Tuning and test of fragmentation models based on identified particles and precision event shape data."
1996
Differential 3-jet rate for the Durham Algorithm. Corrected to final state particles. YCUT is the jet finding cutt-off parameter.
FRIPON: a worldwide network to track incoming meteoroids
2020
Context. Until recently, camera networks designed for monitoring fireballs worldwide were not fully automated, implying that in case of a meteorite fall, the recovery campaign was rarely immediate. This was an important limiting factor as the most fragile - hence precious - meteorites must be recovered rapidly to avoid their alteration. Aims. The Fireball Recovery and InterPlanetary Observation Network (FRIPON) scientific project was designed to overcome this limitation. This network comprises a fully automated camera and radio network deployed over a significant fraction of western Europe and a small fraction of Canada. As of today, it consists of 150 cameras and 25 European radio receiver…
Analyzing big datasets of genomic sequences: fast and scalable collection of k-mer statistics
2019
Abstract Background Distributed approaches based on the MapReduce programming paradigm have started to be proposed in the Bioinformatics domain, due to the large amount of data produced by the next-generation sequencing techniques. However, the use of MapReduce and related Big Data technologies and frameworks (e.g., Apache Hadoop and Spark) does not necessarily produce satisfactory results, in terms of both efficiency and effectiveness. We discuss how the development of distributed and Big Data management technologies has affected the analysis of large datasets of biological sequences. Moreover, we show how the choice of different parameter configurations and the careful engineering of the …
Automatic Customization Framework for Efficient Vehicle Routing System Deployment
2017
Vehicle routing systems provide several advantages over manual transportation planning and they are attracting growing attention. However, deployment of these systems can be prohibitively costly, especially for small and medium-sized enterprises: the customization, integration, and migration is laborious and requires operations research expetise. We propose an automated configuration workflow for vehicle routing system and data flow customization, which provides the necessary basis for more experimental work on the subject. Our preliminary results with learning and adaptive algorithms support the assumption of applicability of the proposed configuration framework. The strategies presented h…
Environmental Data Processing by Clustering Methods for Energy Forecast and Planning
2011
This paper presents a statistical approach based on the k-means clustering technique to manage environmental sampled data to evaluate and to forecast of the energy deliverable by different renewable sources in a given site. In particular, wind speed and solar irradiance sampled data are studied in association to the energy capability of a wind generator and a photovoltaic (PV) plant, respectively. The proposed method allows the sub-sets of useful data, describing the energy capability of a site, to be extracted from a set of experimental observations belonging the considered site. The data collection is performed in Sicily, in the south of Italy, as case study. As far as the wind generation…
Streamlining distributed Deep Learning I/O with ad hoc file systems
2021
With evolving techniques to parallelize Deep Learning (DL) and the growing amount of training data and model complexity, High-Performance Computing (HPC) has become increasingly important for machine learning engineers. Although many compute clusters already use learning accelerators or GPUs, HPC storage systems are not suitable for the I/O requirements of DL workflows. Therefore, users typically copy the whole training data to the worker nodes or distribute partitions. Because DL depends on randomized input data, prior work stated that partitioning impacts DL accuracy. Their solutions focused mainly on training I/O performance on a high-speed network but did not cover the data stage-in pro…