Crowd Sensing-Enabling Security Service Recommendation for Social Fog Computing Systems
Sensors, 2017 Fog computing, shifting intelligence and resources from the remote cloud to edge networks, has the potential of providing low-latency for the communication from sensing data sources to users. For the objects from the Internet of Things (IoT) to the cloud,
Jun Wu, Zhou Su, Shen Wang, Jianhua Li
doaj +1 more source
IEEE Transactions on Industrial Informatics, 2022 Recent evolution of the industrial Internet of Things empowers the classical manufacturing model with cloud computing integration for Industry 4.0. Cloud integration advances the capabilities of manufacturing systems with cloud-based controlling and real-
T. Hewa +3 more
semanticscholar +1 more source
Computing resource allocation in three-tier IoT fog networks: a joint optimization approach combining Stackelberg game and matching [PDF]
, 2017 Fog computing is a promising architecture to provide economical and low latency data services for future Internet of Things (IoT)-based network systems.
Bu, Shengrong +5 more
core +2 more sources
Blockchain and Fog Computing in IoT-Driven Healthcare Services for Smart Cities
Journal of Healthcare Engineering, 2022 Nowadays, technology has been evolving rapidly. Due to the consequent impact of smart technologies, it becomes a ubiquitous part of life. These technologies have led to the emergence of smart cities that are geographic areas driven by advanced ...
M. Kamruzzaman +5 more
semanticscholar +1 more source
Trustee: A Trust Management System for Fog-enabled Cyber Physical Systems [PDF]
, 2019 In this paper, we propose a lightweight trust management system (TMS) for fog-enabled cyber physical systems (Fog-CPS). Trust computation is based on multi-factor and multi-dimensional parameters, and formulated as a statistical regression problem which ...
Chowdhry, B. S. +3 more
core +1 more source
Concepts,issues,and applications of fog computing
Tongxin xuebao, 2018 Firstly,the previous work of fog computing was systematically analyzed and summarized.The background of fog computing and the comparison with cloud computing were introduced.Besides,based on the comparison with other computing style,the advantages and ...
Weijia JIA, Xiaojie ZHOU
doaj +2 more sources
Fog Computing: A Taxonomy, Survey and Future Directions
, 2017 In recent years, the number of Internet of Things (IoT) devices/sensors has increased to a great extent. To support the computational demand of real-time latency-sensitive applications of largely geo-distributed IoT devices/sensors, a new computing ...
Buyya, Rajkumar +2 more
core +1 more source
Smart healthcare IoT applications based on fog computing: architecture, applications and challenges
Complex & Intelligent Systems, 2021 The history of human development has proven that medical and healthcare applications for humanity always are the main driving force behind the development of science and technology.
V. K. Quy +3 more
semanticscholar +1 more source
A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues
IEEE Access, 2019 Systems based on fog computing produce massive amounts of data; accordingly, an increasing number of fog computing apps and services are emerging. In addition, machine learning (ML), which is an essential area, has gained considerable progress in various
Karrar Hameed Abdulkareem +7 more
doaj +1 more source
Optimal Resource Allocation in Ultra-low Power Fog-computing SWIPT-based Networks
, 2017 In this paper, we consider a fog computing system consisting of a multi-antenna access point (AP), an ultra-low power (ULP) single antenna device and a fog server.
Janatian, Nafiseh +2 more
core +1 more source