Diversity of applications within the future Internet results in the need to support wide range of values for key performance indicators (KPIs) such as throughput, latency, delivery rate, etc. To be able to satisfy the target performance, it is crucial to make routing at the network edge intelligent. Our experiment combines machine learning techniques with contextual information like the number and type of users to build more accurate inference about the state of the network and to configure routes that are customized for different applications.

Food Data Market (FDM) is an inclusive marketplace fostering new economic models for sustainable food supply chains by allowing farmers and food companies to keep control of their data and offer it for purchase. It makes use of essential benefits from distributed ledger technologies (trust, neutrality, inclusiveness) while maintaining the crucial benefits of participants intact by employing privacy-by-design approach thus allowing farmers as well as cooperatives to regain control of their data, give it a price tag, and sell it to interested partners in the supply chain.

Multi-Carrier Cellular Access (MCCA) providerssuch as GoogleFi irruptedrecentlyin the mobile Internet access market claiming to offer enhanced performance at reduced prices. MCCAproviders dynamically attach to different carriers based on real time measurements of performance.The goal of the project is to do an experimental comparativestudy ofthe performance of these emerging MCCAproviders and the incumbent cellular providerswith a specialfocus on the performance while roaming.The proposed methodology is to acquire MCCAservices and traditional mobile services in the US and experimentallycompare theirperformance bothat home (US) and while roaming (EU).

The SCN4NDN project will experiment with the merger of two promising NGI technologies: Information-Centric Networking (ICN) and Decentralized Identifiers (DIDs) ICN has been on the spotlight of many research efforts for more than a decade. It has been explored as a standalone future Internet architecture, as well as an enabler for other NGI architectures, including 5G, IoT, and architectures focused on big dataand/orcyber security. ICN’s goal is to enable fast and secure content dissemination by leveraging direct and intrinsic information identification; this allows supporting multicast, multipath, and caching, as well as novel trust mechanisms.

CacheCash, the CDN technology that we were testing, and which is developed by our US partner at NYU, has the potential to change the nature of CDNs by involving the end-users themselves directly in serving content through machines that are under their control. It provides a service where interested users run caches and are incentivized to participate by receiving a cryptocurrency in exchange for serving content.