Cloud-Hosted Intelligence for Real-time IoT Applications

Q3 Computer Science

Operating Systems Review (ACM) Pub Date : 2019-07-25 DOI:10.1145/3352020.3352023

K. Birman, B. Hariharan, Christopher De Sa

引用次数: 7

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.

查看原文本刊更多论文

用于实时物联网应用的云托管智能

将机器学习部署到物联网云环境中需要云基础设施的发展。在这篇白皮书中，我们证明了这一论断的合理性，并确定了实时智能系统所需的新功能。我们还概述了我们为创建更适合ML的新边缘架构所做的初步努力。尽管这项工作仍在进行中，但仍有几个组件存在，我们对此进行了审查。然后，我们指出了随着我们朝着这个方向进一步发展，需要解决的悬而未决的技术问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Operating Systems Review (ACM) Computer Science-Computer Networks and Communications

CiteScore

2.80

自引率

0.00%

发文量

期刊介绍： Operating Systems Review (OSR) is a publication of the ACM Special Interest Group on Operating Systems (SIGOPS), whose scope of interest includes: computer operating systems and architecture for multiprogramming, multiprocessing, and time sharing; resource management; evaluation and simulation; reliability, integrity, and security of data; communications among computing processors; and computer system modeling and analysis.