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Name Data Networking (NDN) is a novel information-centric architecture, based on networking primitives that are driven by hierarchical content names. It promises to ease the development of content sharing services, simplify the management of mobile applications across heterogeneous wireless technologies, and enable native multicast and multipath(More)
Named Data Networking (NDN) is an emerging Information Centric Networking architecture based on hierarchical content names, in-network caching mechanisms, receiver-driven operations, and content-level security schema. NDN networking primitives and routing are based on content names and therefore efficient content discovery of permanent as well as(More)
In recent years the new vision of data-centric networks has emerged as a natural way to satisfy user needs in the Future Internet. It is based on novel architectures oriented towards data sharing and delivering as opposite to classic host-to-host communications. Among several proposals, Content Centric Networking has been conceived as a very promising(More)
While numerous Information Centric Networking (ICN) architectures have been proposed over the last years, the community has so far only timidly attempted at a quantitative assessment of the relative quality of service level that users are expected to enjoy in each of them. This paper starts a journey toward the cross comparison of ICN alternatives, making(More)
—Information Centric Networking (ICN) ar-chitectures are currently being investigated to orient the Future Internet towards a content centric paradigm, thus allowing the provisioning of more secure, efficient, and scalable services. In this work, we focus on the Named Data Networking (NDN) proposal to analyze the impact of several routing and forwarding(More)
The lack of scalable routing algorithms is one of the main obstacles that slow down a large deployment of Content Centric Networking on an Internet-scale. From one side, content based networking promises to solve the current problems of the Internet. On the other hand, instead, it requires routers to account for a very huge amount of content names. Bloom(More)
This demo focuses on the cross-comparison of CCN simulators available as open source software. The aim is to start a quantitative evaluation of the accuracy, coherence, as well as scalability of software tools available for CCN, in order to understand their boundaries and check if they achieve consistent results. The demo process consists of showing results(More)
The analysis of Internet-scale Information-centric networks, and of cache networks in general, poses scalability issues like CPU and memory requirements, which can not be easily targeted by neither state-of-the-art analytical models nor well designed event-driven simulators. This demo focuses on showcasing performance of our new hybrid methodology, named(More)
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