Cloud-Hosted Intelligence for Real-time IoT Applications

Author:

Birman Ken1,Hariharan Bharath1,De Sa Christopher1

Affiliation:

1. Cornell University, Ithaca, NY, USA

Abstract

Deploying machine learning into IoT cloud settings will require an evolution of the cloud infrastructure. In this white paper, we justify this assertion and identify new capabilities needed for real-time intelligent systems. We also outline our initial efforts to create a new edge architecture more suitable for ML. Although the work is still underway, several components exist, and we review them. We then point to open technical problems that will need to be solved as we progress further in this direction.

Publisher

Association for Computing Machinery (ACM)

Reference23 articles.

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3. Recognition in Terra Incognita

4. Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning

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4. Regulating Accuracy-Efficiency Trade-Offs in Distributed Machine Learning Systems;SSRN Electronic Journal;2020

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