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Cluster Computing
Published in: Cluster Computing 1/2019

30-07-2018

Cloud and IoT-based emerging services systems

Authors: Sugam Sharma, Victor Chang, U. Sunday Tim, Johnny Wong, Shashi Gadia

Published in: Cluster Computing | Issue 1/2019

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Abstract

The emerging services and analytics advocate the service delivery in a polymorphic view that successfully serves a variety of audience. The amalgamation of numerous modern technologies such as cloud computing, Internet of Things (IoT) and Big Data is the potential support behind the emerging services Systems. Today, IoT, also dubbed as ubiquitous sensing is taking the center stage over the traditional paradigm. The evolution of IoT necessitates the expansion of cloud horizon to deal with emerging challenges. In this paper, we study the cloud-based emerging services, useful in IoT paradigm, that support the effective data analytics. Also, we conceive a new classification called CNNC {Clouda, NNClouda} for cloud data models; further, some important case studies are also discussed to further strengthen the classification. An emerging service, data analytics in autonomous vehicles, is then described in details. Challenges and recommendations related to privacy, security and ethical concerns have been discussed.
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Metadata
Title
Cloud and IoT-based emerging services systems
Authors
Sugam Sharma
Victor Chang
U. Sunday Tim
Johnny Wong
Shashi Gadia
Publication date
30-07-2018
Publisher
Springer US
Published in
Cluster Computing / Issue 1/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2821-8

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