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 …

[HTML][HTML] Improved wild horse optimization with levy flight algorithm for effective task scheduling in cloud computing

G Saravanan, S Neelakandan, P Ezhumalai… - Journal of Cloud …, 2023 - Springer
Cloud Computing, the efficiency of task scheduling is proportional to the effectiveness of
users. The improved scheduling efficiency algorithm (also known as the improved Wild …

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 …

Application of Quantum Particle Swarm Optimization for task scheduling in Device-Edge-Cloud Cooperative Computing

B Wang, Z Zhang, Y Song, M Chen, Y Chu - Engineering Applications of …, 2023 - Elsevier
Swarm intelligence and evolutionary algorithms (SI&EAs) have been widely applied to
various fields. In this paper, we make the first attempt, to our best knowledge, to apply an …

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 …

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 …

[PDF][PDF] Many-objective optimization-based task scheduling in hybrid cloud environments.

M Zhao, Z Zhang, T Fan, W Guo… - … -Computer Modeling in …, 2023 - cdn.techscience.cn
Due to the security and scalability features of hybrid cloud architecture, it can better meet the
diverse requirements of users for cloud services. And a reasonable resource allocation …

Meta Relational Learning-Based Service-Tailored VNF Deployment for B5G Network Slice

Z Xu, L Zhuang, W Zhuang, Y Hu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
To bring 5G systems and networks to life in large-scale commercial applications, academia
community has started the research beyond 5G (B5G), in which network slicing (NS) is …

[PDF][PDF] Task Classification and Scheduling Using Enhanced Coot Optimization in Cloud Computing.

S Karimunnisa, Y Pachipala - … Journal of Intelligent Engineering & Systems, 2023 - inass.org
Cloud computing benchmarks the dream of rendering computing as a utility, providing high
agility and reachability from an existing set of technologies. It facilitates a wider dimension to …

[HTML][HTML] Task Scheduling Based on Adaptive Priority Experience Replay on Cloud Platforms

C Li, W Gao, L Shi, Z Shang, S Zhang - Electronics, 2023 - mdpi.com
Task scheduling algorithms based on reinforce learning (RL) have been important methods
with which to improve the performance of cloud platforms; however, due to the dynamics and …