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Esta obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional. En este documento se presenta una revisión bibliográfica y una posterior taxonomía para modelos de programación lineal entera mixta (PLEM) en planificación de la producción. En concreto, se analizan modelos de una sola etapa por su interés en diversos tipos de procesos productivos. Se han estudiado un total de 30 modelos que se clasifican en cuanto a los objetivos perseguidos, a su formulación, a su representación y, además, según qué características y restricciones han sido tenidas en cuenta. Como resultado, estos modelos se presentan de forma clara y concisa dando un marco de trabajo para futuros desarrollos.

Raspberry Pi is one of the most popular devices for research in many different fields. It is proposed to analyse its performance as a lightweight blockchain node. This could enable the Raspberry Pi to execute other tasks and the same time, like data acquisition or working as an Internet of Things node, without losing performance. To achieve this, a specific consensus protocol is used to light the processing load. This testbed is evaluated in several benchmarks, whose results clarify the limits of this device as a lightweight blockchain node.

The explosive growth of the mobile application market in recent years has led to a large concomitant mobile software industry whose components are, in many cases, startups and small-size software providers. The success of these applications and the firms behind them depends on a subtle balance between different dimensions mainly affected by their architectural design, such as user satisfaction, resource consumption, operating costs, and timing. The present communication describes a framework with a specific set of practices for identifying the boundaries of different architectural designs —in this article we apply it to estimate both the smartphone’s resource consumption and the operating costs in the cloud— and thus help in the architectural decision-making process. This will enable mobile software developers to predict at early stages which architectural design best suits their business model in accordance with the number of users and the expected use of the application and even provide an advance alert of when architectural choices will need to be reviewed, obviating the need for costly architectural re-design in further phases Ministerio de Ciencia, Innovación y Universidades RTI2018-094591-B-I00 Ministerio de Ciencia, Innovación y Universidades PGC2018-094905-B-I00 Junta de Andalucía APOLO (US-1264651) Ministerio de Ciencia e Innovación HORATIO (RTI2018-101204–B–C21) Ministerio de Ciencia, Innovación y Universidades RED2018-102654-T Interreg V-A España-Portugal (POCTEP) 0499-4IE-PLUS-4-E Junta de Andalucía UMA18-FEDERJA-180 Junta de Extremadura GR18112 Junta de Extremadura IB18030

The increasing capabilities of end devices has led to a wider distribution of the computation and the massive deployment of distributed mobile applications. The success of these applications is highly dependent on the Quality of Service they provide. This quality is especially difficult to assess due to the large number of entities involved and their heterogeneity. Current tools are usually focused on evaluating the QoS provided by a single entity. Nevertheless, the QoS of distributed applications not only depend on the QoS of each entity, the interactions among entities has also to be evaluated. Therefore, new techniques are required to perform a comprehensive evaluation of the expected QoS of these applications before their production deployment. This paper presents a framework, called Perses, for launching virtual environments to simulate and test the execution of distributed mobile applications. This simulation provides results of the QoS achieved. Moreover, the framework has been integrated into a DevOps methodology in order to automate its execution. Video showcase- https://youtu.be/wpIApe_sPFE. Ministerio de Ciencia, Innovación y Universidades RTI2018-101204-B-C21 (HORATIO) Ministerio de Economía y Competitividad BELI (TIN2015-70560-R) Interreg V-A España-Portugal (POCTEP) 0499-4IE-PLUS-4-E Ministerio de Ciencia, Innovación y Universidades TIN2016-81978-REDT Junta de Extremadura GR18112 Junta de Extremadura IB18030 Junta de Andalucía APOLO (US-1264651)