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Cloud and IoT-based emerging services systems

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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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Authors and Affiliations

  1. Center for Survey Statistics and Methodology, Iowa State University, Ames, Iowa, USA

    Sugam Sharma

  2. Founder & CEO, eFeed-Hungers.com™, Ames, USA

    Sugam Sharma

  3. International Business School Suzhou, Xi’an Jiaotong-Liverpool University, Xi’an, China

    Victor Chang

  4. Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa, USA

    U. Sunday Tim

  5. Department of Computer Science, Iowa State University, Ames, Iowa, USA

    Johnny Wong & Shashi Gadia

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  1. Sugam Sharma
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  2. Victor Chang
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Correspondence to Sugam Sharma.

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Sharma, S., Chang, V., Tim, U.S. et al. Cloud and IoT-based emerging services systems. Cluster Comput 22, 71–91 (2019). https://doi.org/10.1007/s10586-018-2821-8

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