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Projects

EC Projects

BASMATI Project. (H2020 ICT-EU-Korea) Contract n. 723131. Cloud Brokerage Across Borders for Mobile Users and Applications (BASMATI) ( 2016-2018), aims at providing a complete fog-inspired ecosystem that integrates cloud federation with mobile devices, while addressing challenges related to resource heterogeneity, ultra-scalable provisioning, offloading, context- and situation identification, quality of service and security guarantees, targeting (crowds of) users accessing their data and applications across borders in a transparent and ubiquitous manner.

InGeoClouds project (CIP-ICT-PSP-2011-5) Contract No 297300. The INspired GEOdata CLOUD Services (INGEOCLOUDS) (2012-2014) project aims at demonstrating the feasibility of employing a cloud-based infrastructure coupled with the necessary services to provide seamless access to geospatial public sector information, especially targeting the geological, geophysical and other geoscientific information. This kind of information possesses interesting characteristics like the size of the available data, the existing metadata descriptions (mostly according to the European Directive INSPIRE) and the current availability of related services that can be moved to the cloud. The service-based infrastructure created by the project will survive the pilot and demonstration phases since the partners plan to integrate it in their infrastructure and various charge-on-demand financial models can be employed to support it.

E-CLOUD Project. (CIP-ICT-PSP-2012-6). Contract No 325091. Europeana Cloud: Unlocking Europe’s Research via The Cloud. (2012-2015)

Europeana Cloud is a Best Practice Network, submitted under Objective 2.1.a and coordinated by the Europeana Foundation, designed to establish a cloud-based system for Europeana and its aggregators. Europeana Cloud will provide new content, new metadata, a new linked storage system, new tools and services for researchers and a new platform – Europeana Research. Content providers and aggregators, across the European information landscape, urgently need a cheaper, more sustainable infrastructure that is capable of storing both metadata and content. Researchers require a digital space where they can undertake innovative exploration and analysis of Europe’s digitised content. Europeana needs to get closer to the target of 30 million items by 2015. Europeana Cloud meets these needs.

MIDAS. FP7-STREP. Contract 318786. The subject of MIDAS (Model and Inference Driven, Automated testing of Services architectures) is an integrated framework for SOA testing automation that will be available as a Platform as a Service (PaaS) on a cloud infrastructure (2012-2015). The framework spans all the testing activities: test generation, execution, evaluation, planning and scheduling, on the functional, interaction, fault tolerance, security and usage-based testing aspects. The focus is on SOA testing, i.e. on black box testing of single services and on grey-box testing of services architectures. The test execution environment will be based on a distributed TTCN-3 runtime environment. The testing methods and technologies that are investigated and prototyped in the project are beyond the state of the art, particularly on model-based testing, model checking of choreographies for sound interaction test scenarios, fuzzing for security testing, usage-based testing, probabilistic inference reasoning about test evaluation, planning and scheduling. An important project objective is the pilot application of the MIDAS framework to two real-world services architectures, in the domains of healthcare and supply chain management.

SEEK is a Marie Curie Project (project N. 295179) funded by EU in the PEOPLE program as an IRSES 2011 scheme. The project activity starts on March, 1 2012 and lasts 36 months. This project funds the exchange of research personnel between participant organizations from EU to international partners and vice-versa for a total funded budget of 352.800 euro. The consortium includes 8 partners from Europe, Brazil and Canada. The goal of the project is to investigate methods to extract meaningful knowledge from large amount of movement data by defining techniques for an advanced semantic-rich knowledge discovery process.

Contrail project (Collaborative project): Open Computing Inftrastructures for Elastic Services (2010-2013). Seventh Research Framework Programme (FP7). Contract No 257438. The goal of the Contrail project is to design, implement, evaluate and promote an open source system in which resources that belong to different operators are integrated into a single homogeneous Federated Cloud that users can access seamlessly. Contrail will vertically integrate an open-source distributed operating system for autonomous resource management in Infrastructure-as-a-Service environments, and high level services and runtime environments as foundations for Platform-as-a-Service.

The Network of Excellence (Noe project) on Engineering Secure Future Internet Software Services and Systems (NESSoS) aims at constituting and integrating a long lasting research community on engineering secure software-based services and systems (2010-2013). Seventh Research Framework Programme (FP7). Contract  No 256980.

The NESSoS engineering of secure software services is based on the principle of addressing security concerns from the very beginning in system analysis and design, thus contributing to reduce the amount of system and service vulnerabilities and enabling the systematic treatment of security needs through the engineering process. In light of the unique security requirements the Future Internet will expose, new results will be achieved by means of an integrated research, as to improve the necessary assurance level and to address risk and cost during the software development cycle in order to prioritize and manage investments. NESSoS will integrate the research labs involved; NESSoS will re-address, integrate, harmonize and foster the research activities in the necessary areas, and will increase and spread the research excellence.

Italian Projects

MOTUS – MObility and Tourism in Urban Scenarios (Industria 2015). The project MOTUS – Mobility and Tourism in Urban Scenarios – proposes an integrated technology for traffic management, which aims to improve environmentally sustainable urban mobility. Thanks to an intelligent system that monitors the flow of pedestrian and vehicular through mobile devices, citizens and tourists are at the same time, users and providers of information. Motus offers a service platform capable of detecting and interpreting the movement of people and vehicles through the analysis of location-based data acquired by Telco providers, municipal service providers, and infrastructures already installed at some of the main places where the project will be tested. The knowledge mined  will be used by public authorities, public transport operators and tourism bodies, to plan improvements to infrastructure and services.

PRIN 2011- Algoritmica delle Reti Sociali Tecno-Mediate (2013-2014).
This activity undertaken by the HPC-Lab is organized into two main tasks: i) efficient social network analysis of location-aware services; and ii) social network analysis by means of spectral methods. In both tasks, research activities will pursue efficient methods to exploit state-of-the-art parallel programming paradigms such as MapReduce (for cluster systems) and MultiCore (for the single computational machine). Within i), we will study new problems and find efficient solutions to those problems within the realm of recommendation systems. As an example, we will consider recommending point of interests to members of a social network in a touristic location. In this scenario, the social network is fundamental to provide personalized recommendations to the tourist. Within the realm of personalization tools, we will identify user profiling techniques aimed at optimally combining information about content and structure of a user’s social network. Many other application scenarios will be considered during the project. In particular, we will exploit our expertise in the efficient implementation of spectral methods for social network analysis such as PageRank, HITS, Center-Piece Subgraph, etc. The design and implementation of spectral methods on the modern computational systems is our second research task. In particular, distributed and cloud systems are becoming increasingly used in recent years, and these systems are based on the MapReduce paradigm. In task ii), we will investigate the implications of using these computational systems (and related programming paradigm) on the design and implementation of social network analysis algorithms.