A review on computational intelligence techniques in cloud and edge computing

M Asim, Y Wang, K Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Cloud computing (CC) is a centralized computing paradigm that accumulates resources
centrally and provides these resources to users through Internet. Although CC holds a large …

A review of intelligent computation offloading in multiaccess edge computing

H **, MA Gregory, S Li - IEEE Access, 2022 - ieeexplore.ieee.org
Multi-Access Edge Computing (MEC) is a standardized architecture that enables cloud
computing capabilities at the edge of heterogeneous networks. The concept is to reduce …

Dependency-aware task scheduling in vehicular edge computing

Y Liu, S Wang, Q Zhao, S Du, A Zhou… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) offers a new paradigm to improve vehicular services and
augment the capabilities of vehicles. In this article, we study the problem of task scheduling …

An efficient population-based multi-objective task scheduling approach in fog computing systems

Z Movahedi, B Defude, AM Hosseininia - Journal of Cloud Computing, 2021 - Springer
With the rapid development of Internet of Things (IoT) technologies, fog computing has
emerged as an extension to the cloud computing that relies on fog nodes with distributed …

Classification of optimization problems in fog computing

J Bellendorf, ZÁ Mann - Future Generation Computer Systems, 2020 - Elsevier
Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …

Dependency-aware task offloading and service caching in vehicular edge computing

Q Shen, BJ Hu, E **a - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
With the emergence of computation-intensive vehicular applications, vehicular edge
computing (VEC) offers a new paradigm to augment the capabilities of vehicles. In this …

Energy and task completion time trade-off for task offloading in fog-enabled IoT networks

OK Shahryari, H Pedram, V Khajehvand… - Pervasive and Mobile …, 2021 - Elsevier
In order to improve the quality of experience in executing computation-intensive tasks of real-
time IoT applications in a fog-enabled IoT network, resource-constrained IoT devices can …

Research on cloud computing adaptive task scheduling based on ant colony algorithm

H Liu - Optik, 2022 - Elsevier
In order to solve the shortcomings of ant colony algorithm in solving large-scale task
scheduling problems in cloud computing, the convergence speed is slow and easy to fall …

Efficient deep-reinforcement learning aware resource allocation in SDN-enabled fog paradigm

A Lakhan, MA Mohammed, OI Obaid… - Automated Software …, 2022 - Springer
These days, fog computing is an emerging paradigm that offers ubiquitous and omnipresent
latency-aware services to delay applications. However, due to the mobility features of …

SecOFF-FCIoT: Machine learning based secure offloading in Fog-Cloud of things for smart city applications

AA Alli, MM Alam - Internet of Things, 2019 - Elsevier
Computation offloading is one of the important application in Internet of Things (IoT)
ecosystem. Computational offloading provides assisted means of processing large amounts …