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Proceedings of SAI Intelligent Systems Conference

IntelliSys 2018: Intelligent Systems and Applications pp 227–237Cite as

A Multi-tiers AI and IoT Architecture

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 869))

Abstract

New intelligent technology solutions are an enabling opportunity for innovation in the Internet of Things (IoT). These challenges call for more intelligent computing models (Digital Agent, Deep Learning, Semantic Networks, …) that enable rapid innovation for applications and service delivery. Big Data is a consequence of IoT applications as they are a major source of data. The Internet of Things delivers fast-moving data from sensors and devices around the world. The challenge for many organizations is making sense of all that data. Digital Agents can be used as a framework for modeling, understanding, and reasoning about them. In order to improve the efficiency of processing it is important to understand how these applications and the corresponding big data processing systems are performed in cloud computing environments. Therefore, we have implemented a set of measures to improve the architecture. A real case study is described.

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Author information

Authors and Affiliations

  1. Megatris Comp. LLC, Sunnyvale, CA, 94085, USA

    Francesco Rago

Authors
  1. Francesco Rago
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Correspondence to Francesco Rago .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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Rago, F. (2019). A Multi-tiers AI and IoT Architecture. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 869. Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_19

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