Five Challenges in Cloud-enabled Intelligence and Control

Author:

Abdelzaher Tarek1,Hao Yifan1,Jayarajah Kasthuri2,Misra Archan2,Skarin Per3,Yao Shuochao1,Weerakoon Dulanga2,Årzén Karl-Erik3

Affiliation:

1. University of Illinois at Urbana Champaign, Urbana, IL, USA

2. Singapore Management University, Singapore

3. Lund University, Lund, Sweden

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.

Funder

Army Research Laboratory

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Reference28 articles.

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2. Towards Oblivious Guidance Systems for Autonomous Vehicles;IEEE Transactions on Vehicular Technology;2023-06

3. Challenges in Metaverse Research: An Internet of Things Perspective;2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom);2023-06

4. AirDrop;Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications;2023-02-22

5. Resource-Aware Estimation and Control for Edge Robotics: A Set-Based Approach;IEEE Internet of Things Journal;2023-02-01

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