AI for next generation computing: Emerging trends and future directions

SS Gill, M Xu, C Ottaviani, P Patros, R Bahsoon… - Internet of Things, 2022 - Elsevier
Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

A systematic review of the smart energy conservation system: From smart homes to sustainable smart cities

H Kim, H Choi, H Kang, J An, S Yeom… - … and sustainable energy …, 2021 - Elsevier
In recent years, smart cities have emerged with energy conservation systems for managing
energy in cities as well as buildings. Although many studies on energy conservation systems …

Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends

EH Houssein, AG Gad, YM Wazery… - Swarm and Evolutionary …, 2021 - Elsevier
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …

A survey on edge and edge-cloud computing assisted cyber-physical systems

K Cao, S Hu, Y Shi, AW Colombo… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In recent years, the investigations on cyber-physical systems (CPS) have become
increasingly popular in both academia and industry. A primary obstruction against the …

Cloud computing security: A survey of service-based models

FK Parast, C Sindhav, S Nikam, HI Yekta, KB Kent… - Computers & …, 2022 - Elsevier
Cloud computing has recently attracted significant attention due to its economical and high-
quality services. In the last decade, cloud services have inevitably entangled with …

Foundations and evolution of modern computing paradigms: Cloud, iot, edge, and fog

M De Donno, K Tange, N Dragoni - IEEE access, 2019 - ieeexplore.ieee.org
In the last few years, Internet of Things, Cloud computing, Edge computing, and Fog
computing have gained a lot of attention in both industry and academia. However, a clear …

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 …

A systematic literature review on applications of information and communication technologies and blockchain technologies for precision agriculture development

W Liu, XF Shao, CH Wu, P Qiao - Journal of Cleaner Production, 2021 - Elsevier
This review examines literature from 2011 to 2020 on information and communications
technologies (ICTs) and blockchain technologies (BTs) in agriculture. To describe the status …

DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing

G Qu, H Wu, R Li, P Jiao - IEEE Transactions on Network and …, 2021 - ieeexplore.ieee.org
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …

[HTML][HTML] The digitisation of agriculture: a survey of research activities on smart farming

M Bacco, P Barsocchi, E Ferro, A Gotta, M Ruggeri - Array, 2019 - Elsevier
The impulse towards a larger introduction of Information and Communication Technology
(ICT) in the agricultural field is currently experiencing its momentum, as digitisation has large …