Task scheduling in fog environment—Challenges, tools & methodologies: A review

ZJK Abadi, N Mansouri, M Khalouie - Computer Science Review, 2023 - Elsevier
Even though cloud computing offers many advantages, it can be a poor choice sometimes
because of its slow response to existing requests, leading to the need for fog computing …

Improving whale optimization algorithm with elite strategy and its application to engineering-design and cloud task scheduling problems

S Chakraborty, AK Saha, A Chhabra - Cognitive Computation, 2023 - Springer
The whale optimization algorithm (WOA), a biologically inspired optimization technique, is
known for its straightforward design and effectiveness. Despite many advantages, it has …

Moth search: Variants, hybrids, and applications

J Li, YH Yang, Q An, H Lei, Q Deng, GG Wang - Mathematics, 2022 - mdpi.com
Moth search (MS) is a nature-inspired metaheuristic optimization algorithm based on the
most representative characteristics of moths, Lévy flights and phototaxis. Phototaxis signifies …

E-AVOA-TS: Enhanced African vultures optimization algorithm-based task scheduling strategy for fog–cloud computing

R Ghafari, N Mansouri - Sustainable Computing: Informatics and Systems, 2023 - Elsevier
In fog computing, inefficient scheduling of user tasks causes more delays. Moreover, how to
schedule tasks that need to be offloaded to fog nodes or cloud nodes has not been fully …

Analyzing meta-heuristic algorithms for task scheduling in a fog-based IoT application

D Rahbari - Algorithms, 2022 - mdpi.com
In recent years, the increasing use of the Internet of Things (IoT) has generated excessive
amounts of data. It is difficult to manage and control the volume of data used in cloud …

An improved brain storm optimization algorithm with new solution generation strategies for classification

Y Xue, Q Zhang, Y Zhao - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
In recent years, brain storm optimization (BSO) algorithm has received much attention in
solving classical optimization problems and is used to implement evolutionary classification …

An integrated decision model for cloud vendor selection using probabilistic linguistic information and unknown weights

R Krishankumar, SS Nimmagadda, AR Mishra… - … Applications of Artificial …, 2022 - Elsevier
Because of the high competition among IT sectors, companies are planning to migrate to the
cloud for effective growth and development. Driven by the importance of the cloud, new …

An efficient task scheduling based on Seagull optimization algorithm for heterogeneous cloud computing platforms

N Mansouri - International Journal of Engineering, 2022 - ije.ir
Cloud computing provides computing resources like software and hardware as a service by
the network for several users. Task scheduling is one of the main problems to attain cost …

Hybrid meta-heuristic genetic algorithm: Differential evolution algorithms for scientific workflow scheduling in heterogeneous cloud environment

FA Saif, R Latip, MN Derahman, AA Alwan - Proceedings of the future …, 2022 - Springer
The gaint cabailities of cloud computing in providing online services via Internet attract the
attention of the distributed sector due to its huge abilities that include storage, processing …

Improved Harris Hawks Optimizer with chaotic maps and opposition-based learning for task scheduling in cloud environment

R Ghafari, N Mansouri - Cluster Computing, 2023 - Springer
Scheduling tasks in the cloud system is the main issue that needs to be addressed in order
to improve customer satisfaction and system performance. This paper proposes …