Search

The actions for limiting the climate change are significantly affecting the electrical power system. Indeed, the increase in renewable power sources and the progressive shut off of coal-fired power plants are transitioning the generation from a centralized to a decentralized paradigm. The latter may cause issues in a grid that was originally designed taking as granted the presence of several big power plants to be used as actuators for the system control. Considering voltage control, the actual control architecture is based on a hierarchical structure applied to a given set of rigidly subdivided control areas. Although such architecture is currently capable of maintain voltage control on the grid, the increase in converter interfaced generators (due to renewables exploitation) and the decrease of the buses short circuit powers (due to high power plants shut-off) may decrease its effectiveness in the future. To this aim, in this paper a coordinated decoupling voltage control is proposed, capable of using all the available reactive power sources on the grid as actuators. The issue of controlling a system with a variable number of actuators (due to generators connection and disconnection) is taken into account, proposing a suitable solution for avoiding transients during the switch between controllers having different output dimension. A brief discussion about communication (among actuators and controller) performances required for implementing the proposed control in the power system is also given.

Complex network analysis is a fundamental tool to understand non-trivial aspects of graphs and networks and is widely used in many fields. In this paper, we apply complex network techniques to study port networks, in which nodes are ports and edges are maritime lines between ports. In particular, we study the temporal evolution of several topological features of a network of ports, including connected components, shortest paths, and clustering coefficients. We built the network with three years of Automatic Identification System data from 2017 to 2019. We highlight several interesting trends and behaviors that differentiate long-range vessels from short-range vessels.

Nowadays, innovative digital services are massively spreading both in the public and private sectors. In this work we focus on the digital data regarding the mobility of persons and goods, which are experiencing exponential growth thanks to the significant diffusion of telecommunication infrastructures and inexpensive GPS-equipped devices. The volume, velocity, and heterogeneity of mobility data call for advanced and efficient services to collect and integrate various data sources from different data producers. The MobiDataLab H2020 project aims to deal with these challenges by introducing an efficient and highly interoperable digital framework for mobility data sharing. In particular, the project aims to propose to the mobility stakeholders (i.e., transport organising authorities, operators, industry, governments, and innovators) reproducible methodologies and sustainable tools that can foster the development of a data-sharing culture in Europe and beyond. This paper introduces the key concepts driving the design and definition of a cloud-based data-sharing federation we call the Transport Cloud platform, which represents one of the main pillars of the MobiDataLab project. Such platform aims to ensure transnational access to mobility data in a secure, efficient, and seamless way, and to ensure that FAIR principles (i.e., mobility data should be findable, accessible, interoperable, and reusable) are enforced.

Recent years are witnessing extensions of cyber-infrastructures towards distributed environments. The Edge of the network is gaining a central role in the agenda of both infrastructure and application providers. Following the actual distributed structure of such a computational environment, nowadays, many solutions face resource and application management needs in Cloud/Edge continua. One of the most challenging aspects is ensuring highly available computing and data infrastructures while optimizing the system's energy consumption. In this paper, we describe a decentralized solution that limits the energy consumption by the system without failing to match the users' expectations, defined as the services' Quality of Experience (QoE) when accessing data and leveraging applications at the Edge. Experimental evaluations through simulation conducted with PureEdgeSim demonstrate the effectiveness of the approach.

Federated Learning is a well-known learning paradigm that allows the distributed training of machine learning models. Federated Learning keeps data in the source devices and communicates only the model's coefficients to a centralized server. This paper studies the decentralized flavor of Federated Learning. A peer-to-peer network replaces the centralized server, and nodes exchange model's coefficients directly. In particular, we look for empirical evidence on the effect of different network topologies and communication parameters on the convergence in the training of distributed models. Our observations suggest that small-world networks converge faster for small amounts of nodes, while xx are more suitable for larger setups.

This deliverable is aimed at providing an updated report on state-of-the-art analysis, conceptual design and implementation of the Distributed Computing and Communication platform for CPSoS, that we refer as High-Performance Computing and Communication Infrastructure (HPC2I). After providing an update on the State-of-the-art for some of the related research activities we summarize the overall design and features of the HPC2I. We present a more concrete and detailed design of the conceptual, high-level system architecture previously described at M12. Said infrastructure lays the foundation of the TEACHING platform and supports the execution of project use cases. This deliverable also focuses on the implementation of the different software tools and prototypes that compose the HPC2I, highlighting the relationships they have with the work package activities (tasks). For each of these tools is also provided the rationale and a description of the base technologies on top of which the actual software components are developed.

This deliverable describes the implementation and operation of real-life experiments from the virtual reality, multiplayermobile gaming and QoE in digital content delivery domains in order to demonstrate how the ACCORDION solution has been applied in real-world environments. It provides a report on the progress of the operational experiments' specification; the preparation of the datasets and experimentation environment to be exploited in each pilot prototype; and the indicators to be measured in order to validate both the operational (business) and technical performance of the ACCORDION platform, according to the ACCORDION pilot plans and experimentation protocol. Furthermore, this deliverable provides the guidelines for the execution and evaluation of pilots, in order to serve as proof of concept for the effectiveness of ACCORDION offerings. This is the first out of two implementation cycles that will validate the promised impact delivery.

This document covers the implementation activities put in place in the ACCORDION consortium to enable a smooth integration of the distributed ACCORDION platform. The first part of the document describes the three core components of the platform, while the second part describes the first integration testing performed on such components.