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Five Challenges in Cloud-enabled Intelligence and Control

Published:10 February 2020Publication History
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Abstract

The proliferation of connected embedded devices, or the Internet of Things (IoT), together with recent advances in machine intelligence, will change the profile of future cloud services and introduce a variety of new research problems, both in cloud applications and infrastructure layers. These problems are centered around empowering individually resource-limited devices to exhibit intelligent behavior, both in sensing and control, thanks to a judicious utilization of cloud resources. Cloud services will enable learning from data, perform inference, and execute control, all with assurances on outcomes. This article discusses such emerging services and outlines five resulting new research directions towards enabling and optimizing intelligent, cloud-assisted sensing and control in the age of the Internet of Things.

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          • Published in

            cover image ACM Transactions on Internet Technology
            ACM Transactions on Internet Technology  Volume 20, Issue 1
            Visions and Regular Papers
            February 2020
            135 pages
            ISSN:1533-5399
            EISSN:1557-6051
            DOI:10.1145/3381410
            • Editor:
            • Ling Liu
            Issue’s Table of Contents

            Copyright © 2020 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 10 February 2020
            • Accepted: 1 October 2019
            • Revised: 1 September 2019
            • Received: 1 July 2019
            Published in toit Volume 20, Issue 1

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