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Open AccessJournal ArticleDOI

OM2M: Extensible ETSI-compliant M2M Service Platform with Self-configuration Capability☆

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TLDR
The open source OM2-M project is proposed, an autonomic ETSI-compliant M2 M service platform that proposes a modular architecture running on top of an OSGi layer, making it highly extensible via plugins.
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This article is published in Procedia Computer Science.The article was published on 2014-01-01 and is currently open access. It has received 86 citations till now. The article focuses on the topics: Interoperability & Autonomic computing.

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Citations
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Internet of Things in the 5G Era: Enablers, Architecture, and Business Models

TL;DR: The present paper analyzes in detail the potential of 5G technologies for the IoT, by considering both the technological and standardization aspects and illustrates the massive business shifts that a tight link between IoT and 5G may cause in the operator and vendors ecosystem.
Journal ArticleDOI

Literature review of Industry 4.0 and related technologies

TL;DR: This exhaustive literature review provides a concrete definition of Industry 4.0 and defines its six design principles such as interoperability, virtualization, local, real-time talent, service orientation and modularity.
Journal ArticleDOI

Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City

TL;DR: A smart visual sensor developed for a pilot project taking place in the Australian city of Liverpool to design and evaluate an edge-computing device using computer vision and deep neural networks to track in real-time multi-modal transportation while ensuring citizens’ privacy is introduced.
Journal ArticleDOI

Toward semantic interoperability in oneM2M architecture

TL;DR: The extension of the oneM2M standard to support semantic data interoperability based on IoT-O is discussed and benefits of the extended standard are demonstrated, ranging from heterogeneous device interoperability to autonomic behavior achieved by automated reasoning.
Journal ArticleDOI

A Model-Driven Methodology for the Design of Autonomic and Cognitive IoT-Based Systems: Application to Healthcare

TL;DR: A set of autonomic cognitive design patterns that alleviate the design complexity of smart IoT-based systems, while taking into consideration big data and scalability management are proposed.
References
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Journal ArticleDOI

The vision of autonomic computing

TL;DR: A 2001 IBM manifesto noted the almost impossible difficulty of managing current and planned computing systems, which require integrating several heterogeneous environments into corporate-wide computing systems that extend into the Internet.
BookDOI

M2M Communications: A Systems Approach

TL;DR: The first technical book emerging from a standards perspective to respond to this highly specific technology/business segment covers the main challenges facing the M2M industry today, and proposes early roll-out scenarios and potential optimization solutions.
BookDOI

Autonomic Computing : Concepts, Infrastructure, and Applications

TL;DR: An overview of Autonomic Computing: Origins, Evolution, Direction, and Direction and a Programming System for Autonomic Self-Managing Applications for Managing Large-Scale, Distributed Systems.
Journal ArticleDOI

The role of ontologies in autonomic computing systems

TL;DR: The use of ontologies as a high-level, expressive, conceptual modeling approach for describing the knowledge upon which the processing of a correlation engine is based allows the construction of autonomic computing systems that are capable of dealing with policy-based goals on a higher abstraction level.
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