Fog Computing for Smart Living

Author

Bruce M. McMillin, Missouri University of Science and TechnologyFollow
Tao Zhang

Abstract

Cloud-only models face serious challenges in latency, network bandwidth, geographic focus, reliability, and security. Fog computing reduces these challenges by providing a system level horizontal architecture to distribute computing, storage, control, and networking resources and services from the cloud to connected devices ("things"). Over time, fog and cloud computing will converge into unified end-to-end platforms offering integrated services and applications along the continuum from the cloud to things. Applications developed and deployed for the cloud will be able to run in fog and vice versa. Fog computing will be integral in developing and sustaining smart living.

Recommended Citation

B. M. McMillin and T. Zhang, "Fog Computing for Smart Living," Computer, vol. 50, no. 2, pp. 5 - 5, IEEE Computer Society, Feb 2017.

The definitive version is available at https://doi.org/10.1109/MC.2017.57

Department(s)

Computer Science

Keywords and Phrases

Cloud; Computing: The Next 50 Years; Fog Computing; Security; Smart Grid

International Standard Serial Number (ISSN)

0018-9162; 1558-0814

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 IEEE Computer Society, All rights reserved.

Publication Date

01 Feb 2017