File(s) under permanent embargo

A fog-based recommender system

journal contribution
posted on 2020-02-01, 00:00 authored by Wang (Tony) Xiaodong, B Gu, Y Ren, W Ye, S Yu, Yong XiangYong Xiang, Longxiang GaoLongxiang Gao
Fog computing is an emergent computing paradigm that extends the cloud paradigm. With the explosive growth of smart devices and mobile users, cloud computing no longer matches the requirements of the Internet of Things (IoT) era. Fog computing is a promising solution to satisfying these new requirements, such as low latency, uninterrupted service, and location awareness. As a typical new computing paradigm and network architecture, fog computing raises new challenges, such as privacy, data management, data analytics, information overload, and participatory sensing. In this article, we present a fog-based hybrid recommender system to address the issue of information overload in fog computing. Our proposed system not only abstracts useful information from the fog environment but can also be considered as an optimization tool due to its ability to provide suggestions to improve system performance. In particular, we demonstrate that the proposed system provides personalized and localized recommendations to users, and also advise the system itself to precache the content to optimize the storage capacity of the fog server.

History

Journal

IEEE internet of things journal

Volume

7

Issue

2

Pagination

1048 - 1060

Publisher

Institute of Electrical and Electronics Engineers

Location

Piscataway, N.J.

ISSN

2327-4662

eISSN

2327-4662

Language

eng

Publication classification

C1 Refereed article in a scholarly journal