Offloading using traditional optimization and machine learning in federated cloud-edge-fog systems: A survey

B Kar, W Yahya, YD Lin, A Ali - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
The huge amount of data generated by the Internet of things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

A collaborative computational offloading strategy for latency-sensitive applications in fog networks

I Sarkar, M Adhikari, N Kumar… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Network data traffic has expanded exponentially over the past decade, resulting in massive
congestion in heterogeneous networks. Nevertheless, it is nearly impossible to run latency …

METO: Matching-theory-based efficient task offloading in IoT-fog interconnection networks

C Swain, MN Sahoo, A Satpathy… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Typical cloud systems are often prone to inherent wide area network (WAN) latency. To
address this issue fog computing is proposed that enables resource-constrained Internet-of …

PORA: Predictive offloading and resource allocation in dynamic fog computing systems

X Gao, X Huang, S Bian, Z Shao… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
In multitiered fog computing systems, to accelerate the processing of computation-intensive
tasks for real-time Internet of Things (IoT) applications, resource-limited IoT devices can …

iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments

H Gupta, A Vahid Dastjerdi, SK Ghosh… - Software: Practice and …, 2017 - Wiley Online Library
Summary Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable,
environmental sensors, home appliances, and vehicles) online, hence generating massive …

Task-driven data offloading for fog-enabled urban IoT services

P Wang, R Yu, N Gao, C Lin… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Past years have witnessed the rapid increasing number of smart devices and objects
deployed in the urban environment. Leveraging helpful data generated by hundreds of …

Improving IoT services using a hybrid fog-cloud offloading

S Aljanabi, A Chalechale - IEEE Access, 2021 - ieeexplore.ieee.org
With the rapid development of the internet of things (IoT) devices and applications, the
necessity to provide these devices with high processing capabilities appears to run the …

Edge and fog: A survey, use cases, and future challenges

C Avasalcai, I Murturi, S Dustdar - Fog Computing: Theory and …, 2020 - Wiley Online Library
With the success of the Internet of Things (IoT) and the widespread availability of mobile
devices, the traditional centralized cloud computing is facing severe network challenges (eg …

Online partial offloading and task scheduling in SDN-fog networks with deep recurrent reinforcement learning

J Baek, G Kaddoum - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Smart industries enabling automation and data exchange in manufacturing technologies
demanding real-time processing, nearby storage, and reliability, all of which can be satisfied …

[HTML][HTML] Towards effective offloading mechanisms in fog computing

M Sheikh Sofla, M Haghi Kashani, E Mahdipour… - Multimedia Tools and …, 2022 - Springer
Fog computing is considered a formidable next-generation complement to cloud computing.
Nowadays, in light of the dramatic rise in the number of IoT devices, several problems have …