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Titlebook: New Frontiers in Quantitative Methods in Informatics; 7th Workshop, InfQ 2 Simonetta Balsamo,Andrea Marin,Enrico Vicario Conference proceed

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Enrico Barbierato,Marco Gribaudo,Mauro Iacono,Alexander H. Levis make the transition from the often sim­ ture student. It will, however, also be useful to plistic classroom exercises to problems of the designers who are already familiar with design real world. Problems for solution by the student in other materials (steel, concrete, masonry) but follow the same
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Geofenced Broadcasts via Centralized Scheduling of Device-to-Device Communications in LTE-Advancedvertisement and public safety. They can be combined in a multi-hop fashion to achieve geofenced broadcasts in a fast and reliable way, over areas possibly covered by several cells [.]. This allows LTE-A networks to support critical services, like vehicular collision alerts or cyber-physical systems,
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Analysis of Performance in Depth Based Routing for Underwater Wireless Sensor Networkscommon wireless terrestrial networks. In fact, most UWSNs use acoustic instead of radio-frequency based communications, and nodes are subject to high mobility caused by water currents. As a consequence, specialised routing algorithms have been developed to tackle this challenging scenario. Depth bas
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Performance Evaluation of a Secure and Scalable E-Voting Scheme Using PEPAstochastic performance evaluation process algebra (PEPA) language and PEPA Eclipse plug-in were used to represent the voting scheme and analyse its performance characteristics. Timely responses of remote electronic voting protocols are important to increase voters’ confidence in e-voting systems. Th
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Modeling Crowd Behavior in a Theateravior of a crowd in a theater to evaluate the effects of a potentially catastrophic situation in a constrained space. The chosen modeling technique showed to be well fit to help and evaluate, given the nature of a space with significant obstacles and densely occupied by people, what kind of actions
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Vs-Driven Big Data Process Developmentthereby enabling a new generation of data-intensive applications (DIAs) and services. At the same time, to facilitate DIA design and development processes and address (Big) data management requirements, proper techniques and tools are requested. To this purpose, this paper proposes an approach, whic
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Capacity Planning of Fog Computing Infrastructures for Smart Monitoringes so as to reduce latency, bandwidth and energy-efficiency. Despite their gaining importance, the literature about capacity planning studies for FC systems is very limited only considering very simplified technological cases. This paper considers a model for the capacity planning of a FC system for
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