A Cloud of Things framework for smart home services based on Information Centric Networking

Amadeo, Marica; Molinaro, Antonella; Paratore, Stefano Yuri; Altomare, Albino; Giordano, Andrea; Mastroianni, Carlo

doi:10.1109/icnsc.2017.8000099

Cited by 24 publications

(17 citation statements)

References 18 publications

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“…ICN-isapiens [44,45] Centralized A software component called deployer is in charge of loading the IoT services in specific fog nodes depending on the physical IoT devices they control.…”

Section: Iot-ncn [7]mentioning

confidence: 99%

“…In References [44,45], a 3-level framework called ICN-isapiens is presented, where a fog layer, consisting of smart home servers (HSs), is introduced between the physical world and the remote cloud to support real-time services and to hide the heterogeneity of IoT devices. In ICN-isapiens, HSs are installed in houses and provided with a multi-agent software application to manage predefined low-latency monitoring and actuation services.…”

Section: Centralized Mechanismsmentioning

confidence: 99%

“…Such a choice is to provide insights into the benefits of the proposal on a small scale but also a highly representative IoT smart environment, where the collection and processing of measurements provided by heterogeneous entities, such as consumer devices and building facilities, may be frequent. Unlike the works in References [42][43][44][45], which promoted a centralized service orchestration mechanism, we deploy a fully distributed strategy, more aligned with the NDN forwarding fabric.…”

Section: Contributionmentioning

confidence: 99%

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Fog Computing in IoT Smart Environments via Named Data Networking: A Study on Service Orchestration Mechanisms

et al. 2019

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By offering low-latency and context-aware services, fog computing will have a peculiar role in the deployment of Internet of Things (IoT) applications for smart environments. Unlike the conventional remote cloud, for which consolidated architectures and deployment options exist, many design and implementation aspects remain open when considering the latest fog computing paradigm. In this paper, we focus on the problems of dynamically discovering the processing and storage resources distributed among fog nodes and, accordingly, orchestrating them for the provisioning of IoT services for smart environments. In particular, we show how these functionalities can be effectively supported by the revolutionary Named Data Networking (NDN) paradigm. Originally conceived to support named content delivery, NDN can be extended to request and provide named computation services, with NDN nodes acting as both content routers and in-network service executors. To substantiate our analysis, we present an NDN fog computing framework with focus on a smart campus scenario, where the execution of IoT services is dynamically orchestrated and performed by NDN nodes in a distributed fashion. A simulation campaign in ndnSIM, the reference network simulator of the NDN research community, is also presented to assess the performance of our proposal against state-of-the-art solutions. Results confirm the superiority of the proposal in terms of service provisioning time, paid at the expenses of a slightly higher amount of traffic exchanged among fog nodes.Smart home, smart building, smart transportation, and smart energy are just a few examples of IoT application domains. In these contexts, the cloud and fog computing paradigms will play a crucial role in supporting the variety of expected services (e.g., data aggregation, filtering, manipulation for monitoring, and surveillance purposes) and in fulfilling their requirements in the presence of a huge number of heterogeneous connected devices. According to References [3,4], fog and cloud computing will complement each other to form a service continuum between the cloud and the IoT devices by providing computing, storage, control, and networking resources.On the one side, by leveraging remote data centers and centralized control, the cloud becomes the perfect candidate for managing long-term data storage and for executing complex analytics algorithms. On the other side, the fog brings computing and storage services close to the end-users, where data are generated and/or consumed. The advantages are clear: enabling interactive and delay-sensitive applications, reducing the amount of traffic reaching the core network segment, and guaranteeing high performance also in the presence of limited network bandwidth and intermittent connectivity. In the most ambitious scenario, network edge routers and hosts, ranging from access points, backhaul nodes, and Points of Presence (PoPs) to IoT gateways and user devices like smartphones and tablets, will turn into fog elements that execute services on demand.An ...

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“…ICN-isapiens [44,45] Centralized A software component called deployer is in charge of loading the IoT services in specific fog nodes depending on the physical IoT devices they control.…”

Section: Iot-ncn [7]mentioning

confidence: 99%

Section: Centralized Mechanismsmentioning

confidence: 99%

Section: Contributionmentioning

confidence: 99%

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Fog Computing in IoT Smart Environments via Named Data Networking: A Study on Service Orchestration Mechanisms

et al. 2019

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“…Amadeo et al [22] present the Cloud of Things (CoT) platform that deals with some challenges in the smart home domain by leveraging two groundbreaking concepts: Information Centric Networking (ICN) and Fog Computing. The proposal ICN-iSapiens model is a three-layered architecture where an intermediate (Fog) layer, consisting of smart home servers (HSs), is introduced between the physical world and the remote cloud, to support real-time services and hide the heterogeneity of Internet of Things (IoT) devices [23], [24].…”

Section: A Integration Mas-fog Computingmentioning

confidence: 99%

Fog computing for the integration of agents and web services in an autonomic reflexive middleware

Sánchez

Aguilar

Expósito

2018

SOCA

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“…While C-DAX DNs can be implicitly considered as edge computing, in (Amadeo, et al, 2017) three layers architecture which contains cloud, Fog, and the physical nodes, have been proposed to handle smart home challenges. The Fog layer abstracts the communication between the cloud and the physical devices which communicate using ICN paradigm.…”

Section: Introductionmentioning

confidence: 99%

PPUSTMAN: Privacy-Aware PUblish/Subscribe IoT MVC Architecture Using Information Centric Networking

Saadeh¹,

Almobaideen²,

Sabri³

2018

MAS

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IoT applications have been evolved in relation to every aspect of human life. The design of the applications adds new challenges such as mobility, scalability, and privacy to the current networking architecture design. For that reason, it is mandatory to investigate new solutions and paradigms such as Information Centric Network (ICN). ICN handles many of the challenges barely handled by current IP networks such as mobility and scalability, by using in-network caching and content retrieving based on contents names instead of host addresses. This paper presents a privacy-aware ICN architecture for IoT environments based on the Model-View-Controller (MVC) publish/Subscribe communication approach. This architecture focuses on supporting mobility, scalability, and privacy. A communication and processing cost comparison between Publish/Subscribe N-Tier and Publish/Subscribe MVC architectures, shows that the later outperforms N-Tier in communication, processing cost, and parallelism capabilities. Reasoning and planning for publishing actuation commands scenarios is performed using Situation Calculus which is used to formalize the communications in causality and temporal framework.

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A Cloud of Things framework for smart home services based on Information Centric Networking

Cited by 24 publications

References 18 publications

Fog Computing in IoT Smart Environments via Named Data Networking: A Study on Service Orchestration Mechanisms

Fog Computing in IoT Smart Environments via Named Data Networking: A Study on Service Orchestration Mechanisms

Fog computing for the integration of agents and web services in an autonomic reflexive middleware

PPUSTMAN: Privacy-Aware PUblish/Subscribe IoT MVC Architecture Using Information Centric Networking

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