Cloud-based network virtualization: An IoT use case

TitleCloud-based network virtualization: An IoT use case
Publication TypeConference Proceedings
Year of Conference2015
AuthorsMerlino, G., D. Bruneo, F. Longo, S. Distefano, and A. Puliafito
Conference NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume155
Pagination199-210
PublisherSpringer Verlag
Conference LocationSan Remo (Italy)
ISBN Number9783319250663
ISBN18678211
KeywordsAd hoc networks, Arbitrary topology, Clouds, Internet of Things, Internet of Things (IOT), IoT, network virtualization, OpenStack, Telecommunication networks, Underlying physical networks, Virtual networks, Virtual reality, WebSocket
Abstract

In light of an overarching scheme about extending the capabilities of Internet of things (IoT) with Cloud-enabled mechanisms, network virtualization is a key enabler of infrastructure-oriented IoT solutions. In particular, without network virtualization infrastructure cannot really be considered flexible enough to meet emerging requirements, and even administrative duties, such as management, maintenance and large-scale automation, would turn out to be brittle and addressed by special casing, leading to loss of generality and a variety of corner cases. We propose a Cloud-based network virtualization approach for IoT, based on the Open- Stack IaaS framework, where its networking subsystem, Neutron, gets extended to accomodate virtual networks and arbitrary topologies among virtualmachines and globally dispersed smart objects, whichever the setup and constraints of the underlying physical networks. This work outlines a motivating use case for our approach, and the ensuing discussion is provided to frame the benefits of the underlying design. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84947982973&doi=10.1007%2f978-3-319-25067-0_16&partnerID=40&md5=f749a4988e888d00cbdabf0649881264
DOI10.1007/978-3-319-25067-0_16