Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges

SS Gill, S Tuli, M Xu, I Singh, KV Singh, D Lindsay… - Internet of Things, 2019 - Elsevier
Cloud computing plays a critical role in modern society and enables a range of applications
from infrastructure to social media. Such system must cope with varying load and evolving …

Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

A Diez-Olivan, J Del Ser, D Galar, B Sierra - Information Fusion, 2019 - Elsevier
The so-called “smartization” of manufacturing industries has been conceived as the fourth
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …

Edge-computing-enabled smart cities: A comprehensive survey

LU Khan, I Yaqoob, NH Tran… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Recent years have disclosed a remarkable proliferation of compute-intensive applications in
smart cities. Such applications continuously generate enormous amounts of data which …

Resource management approaches in fog computing: a comprehensive review

M Ghobaei-Arani, A Souri, AA Rahmanian - Journal of Grid Computing, 2020 - Springer
In recent years, the Internet of Things (IoT) has been one of the most popular technologies
that facilitate new interactions among things and humans to enhance the quality of life. With …

Resource management in fog/edge computing: a survey on architectures, infrastructure, and algorithms

CH Hong, B Varghese - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Contrary to using distant and centralized cloud data center resources, employing
decentralized resources at the edge of a network for processing data closer to user devices …

[HTML][HTML] Optimizing student engagement in edge-based online learning with advanced analytics

R Abdulkader, FTM Ayasrah, VRG Nallagattla… - Array, 2023 - Elsevier
Abstract Edge-Based Online Learning (EBOL), a technique that combines the practical,
hands-on approach of EBOL with the convenience of Online Learning (OL), is growing in …

[HTML][HTML] Process automation in an IoT–fog–cloud ecosystem: A survey and taxonomy

H Chegini, RK Naha, A Mahanti, P Thulasiraman - IoT, 2021 - mdpi.com
The number of IoT sensors and physical objects accommodated on the Internet is increasing
day by day, and traditional Cloud Computing would not be able to host IoT data because of …

A survey of distributed data stream processing frameworks

H Isah, T Abughofa, S Mahfuz, D Ajerla… - IEEE …, 2019 - ieeexplore.ieee.org
Big data processing systems are evolving to be more stream oriented where each data
record is processed as it arrives by distributed and low-latency computational frameworks on …

A simulation-driven methodology for IoT data mining based on edge computing

C Savaglio, G Fortino - ACM Transactions on Internet Technology (TOIT), 2021 - dl.acm.org
With the ever-increasing diffusion of smart devices and Internet of Things (IoT) applications,
a completely new set of challenges have been added to the Data Mining domain. Edge …

Virtual reality: A survey of enabling technologies and its applications in IoT

M Hu, X Luo, J Chen, YC Lee, Y Zhou, D Wu - Journal of Network and …, 2021 - Elsevier
Virtual Reality (VR) has shown great potential to revolutionize the market by providing users
immersive experiences with freedom of movement. Compared to traditional video streaming …