Pro-Diluvian: Understanding scoped-flooding for content discovery in information-centric networking

Scoped-flooding is a technique for content discovery in a broad networking context. This paper investigates the ef-fects of scoped-flooding on various topologies in information-centric networking. Using the proposed ring model, we show that flooding can be constrained within a very small neigh-bourhood to achieve most of the gains which come from areas where the growth rate is relatively low, i.e., the net-work edge. We also study two flooding strategies and com-pare their behaviours. Given that caching schemes favour more popular items in competition for cache space, popu-lar items are expected to be stored in diverse parts of the network compared to the less popular items. We propose to exploit the resulting divergence in availability along with the routers ’ topological properties to fine tune the flooding radius. Our results shed light on designing ecient con-tent discovery mechanism for future information-centric net-works

ICN as Network Infrastructure for Multi-Sensory Devices: Local Domain Service Discovery for ICN-based IoT Environments

Information Centric Networking (ICN) is an emerging research topic aiming at shifting the Internet from its current host-centric paradigm towards an approach centred around content, which enables the direct retrieval of information objects in a secure, reliable, scalable, and efficient way. The exposure of ICN to scenarios other than static content distribution is a growing research topic, promising to extend the impact of ICN to a broader scale. In this context, particular attention has been given to the application of ICN in Internet of Things (IoT) environments. The current paper, by focusing on local domain IoT scenarios, such as multi-sensory Machine to Machine environments, discusses the challenges that ICN, particularly Interest-based solutions, impose to service discovery. This work proposes a service discovery mechanism for such scenarios, relying on an alternative forwarding pipeline for supporting its core operations. The proposed mechanism is validated through a proof-of-concept prototype, developed on top of the Named Data Networking ICN architecture, with results showcasing the benefits of our solution for discovering services within a collision domain. © 2017 Springer Science+Business Media New Yor

NDNSD: Service Publishing and Discovery in NDN

Service discovery is one of the crucial components of modern applications. With the advent of several new systems such as IoT, edge, cloud, etc the world is connected more than ever and smart devices are creeping towards every nook and corner of our surroundings. Not only the new systems are emerging but also the communication pattern is evolving i.e. from one-to-one (host-host) to many-to-many (distributed application, IoT). The definition of service has also changed over time. Unlike their meaning in the past as programs running on some machines, services today can be sensor devices collecting data, mobile devices offering computing service, or it can even be a piece of data generated by some system. To satisfy the changing dynamics and heterogeneity of the services and the demand of these evolving architectures several new protocols are developed on top of the TCP/IP stack. Nonetheless, the fundamental weakness of host-centric TCP/IP to support the need for distributed application (IoT, edge) and many-to-many communication (e.g. publisher-subscriber) have induced several weaknesses in the system and have made it more fragile. Named Data Networking (NDN) is an information-centric networking architecture that does the communication over signed, named content objects. Its pub-sub style of communication, data-centric security at the network layer, in-network caching, etc provides numerous benefits to modern systems and tries to overcome the shortcoming of TCP/IP. In this thesis, we propose NDNSD – a fully distributed, scalable, and general-purpose, service discovery protocol for information-centric architecture/NDN. It is developed on top of the synchronization protocol (sync) and offers publisher-subscriber API for service publishing and discovery. We present several design features of NDNSD and also establish how it is best suited for modern systems. We also introduce the concept of service-info and how it can be combined with sync and NDN hierarchical names to make service discovery generic. Finally, To substantiate our argument, we design, implement, and evaluate our protocol, and also provide some use-cases (e.g. Building Management System) to show how service discovery can be beneficial

ADN: An Information-Centric Networking Architecture for the Internet of Things

Forwarding data by name has been assumed to be a necessary aspect of an information-centric redesign of the current Internet architecture that makes content access, dissemination, and storage more efficient. The Named Data Networking (NDN) and Content-Centric Networking (CCNx) architectures are the leading examples of such an approach. However, forwarding data by name incurs storage and communication complexities that are orders of magnitude larger than solutions based on forwarding data using addresses. Furthermore, the specific algorithms used in NDN and CCNx have been shown to have a number of limitations. The Addressable Data Networking (ADN) architecture is introduced as an alternative to NDN and CCNx. ADN is particularly attractive for large-scale deployments of the Internet of Things (IoT), because it requires far less storage and processing in relaying nodes than NDN. ADN allows things and data to be denoted by names, just like NDN and CCNx do. However, instead of replacing the waist of the Internet with named-data forwarding, ADN uses an address-based forwarding plane and introduces an information plane that seamlessly maps names to addresses without the involvement of end-user applications. Simulation results illustrate the order of magnitude savings in complexity that can be attained with ADN compared to NDN.Comment: 10 page

Fog-enabled Edge Learning for Cognitive Content-Centric Networking in 5G

By caching content at network edges close to the users, the content-centric networking (CCN) has been considered to enforce efficient content retrieval and distribution in the fifth generation (5G) networks. Due to the volume, velocity, and variety of data generated by various 5G users, an urgent and strategic issue is how to elevate the cognitive ability of the CCN to realize context-awareness, timely response, and traffic offloading for 5G applications. In this article, we envision that the fundamental work of designing a cognitive CCN (C-CCN) for the upcoming 5G is exploiting the fog computing to associatively learn and control the states of edge devices (such as phones, vehicles, and base stations) and in-network resources (computing, networking, and caching). Moreover, we propose a fog-enabled edge learning (FEL) framework for C-CCN in 5G, which can aggregate the idle computing resources of the neighbouring edge devices into virtual fogs to afford the heavy delay-sensitive learning tasks. By leveraging artificial intelligence (AI) to jointly processing sensed environmental data, dealing with the massive content statistics, and enforcing the mobility control at network edges, the FEL makes it possible for mobile users to cognitively share their data over the C-CCN in 5G. To validate the feasibility of proposed framework, we design two FEL-advanced cognitive services for C-CCN in 5G: 1) personalized network acceleration, 2) enhanced mobility management. Simultaneously, we present the simulations to show the FEL's efficiency on serving for the mobile users' delay-sensitive content retrieval and distribution in 5G.Comment: Submitted to IEEE Communications Magzine, under review, Feb. 09, 201