Five challenges in cloud-enabled intelligence and control

Tarek Abdelzaher, Yifan Hao, Kasthuri Jayarajah, Archan Misra, Per Skarin, Shuochao Yao, Dulanga Weerakoon, Karl Erik Arzen

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Article number3
JournalACM Transactions on Internet Technology
Volume20
Issue number1
DOIs
StatePublished - Feb 10 2020

Keywords

  • Internet of things
  • deep learning
  • edge intelligence
  • intelligent control

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Five challenges in cloud-enabled intelligence and control'. Together they form a unique fingerprint.

  • Cite this

    Abdelzaher, T., Hao, Y., Jayarajah, K., Misra, A., Skarin, P., Yao, S., Weerakoon, D., & Arzen, K. E. (2020). Five challenges in cloud-enabled intelligence and control. ACM Transactions on Internet Technology, 20(1), [3]. https://doi.org/10.1145/3366021