Exploring swarm intelligence optimization techniques for task scheduling in cloud computing: algorithms, performance analysis, and future prospects

FS Prity, KMA Uddin, N Nath - Iran Journal of Computer Science, 2024 - Springer
The advent of the cloud computing paradigm has enabled innumerable organizations to
seamlessly migrate, compute, and host their applications within the cloud environment …

Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment

S Mangalampalli, GR Karri, SN Mohanty, S Ali… - Scientific Reports, 2023 - nature.com
Cloud Computing model provides on demand delivery of seamless services to customers
around the world yet single point of failures occurs in cloud model due to improper …

[HTML][HTML] Neural network inspired differential evolution based task scheduling for cloud infrastructure

P Gupta, PS Rawat, D kumar Saini, A Vidyarthi… - Alexandria Engineering …, 2023 - Elsevier
In recent years, cloud computing has become an essential technology for businesses and
individuals alike. Task scheduling is a critical aspect of cloud computing that affects the …

[PDF][PDF] Multi-factor Evolution for Large-scale Multi-objective Cloud Task Scheduling.

T Zhao, L Wu, D Wu, J Li, Z Cui - KSII Transactions on Internet & …, 2023 - koreascience.kr
Scheduling user-submitted cloud tasks to the appropriate virtual machine (VM) in cloud
computing is critical for cloud providers. However, as the demand for cloud resources from …

A Discrete Prey–Predator Algorithm for Cloud Task Scheduling

DA Abdulgader, A Yousif, A Ali - Applied Sciences, 2023 - mdpi.com
Cloud computing is considered a key Internet technology. Cloud providers offer services
through the Internet, such as infrastructure, platforms, and software. The scheduling process …

An Evolutionary Algorithm for Task Clustering and Scheduling in IoT Edge Computing

A Yousif, MB Bashir, A Ali - Mathematics, 2024 - mdpi.com
The Internet of Things (IoT) edge is an emerging technology of sensors and devices that
communicate real-time data to a network. IoT edge computing was introduced to handle the …

Task scheduling in cloud computing systems using multi-objective honey badger algorithm with two hybrid elite frameworks and circular segmentation screening

SW Zhang, JS Wang, SH Zhang, YX Xing… - Artificial Intelligence …, 2024 - Springer
In cloud computing environment, task scheduling is the most critical problem to be solved.
Two different multi-objective honey badger algorithms (MOHBA-I and MOHBA-II) based on …

[PDF][PDF] Intelligent Solution System for Cloud Security Based on Equity Distribution: Model and Algorithms.

SM Eljack, M Jemmali, M Denden… - … , Materials & Continua, 2024 - researchgate.net
In the cloud environment, ensuring a high level of data security is in high demand. Data
planning storage optimization is part of the whole security process in the cloud environment …

A Hybrid Many-Objective Optimization Algorithm for Job Scheduling in Cloud Computing Based on Merge-and-Split Theory

MI Khaleel, M Safran, S Alfarhood, M Zhu - Mathematics, 2023 - mdpi.com
Scheduling jobs within a cloud environment is a critical area of research that necessitates
meticulous analysis. It entails the challenge of optimally assigning jobs to various cloud …

Workflow scheduler optimization using an enhanced hybrid genetic algorithm

TB Awolola, Z Mohamad, NA Mahiddin… - … Journal of Advanced …, 2024 - search.proquest.com
The effectiveness of genetic algorithms (GA) can be improved by adjusting genetic operators
and integrating an efficient heuristic. These enhancements are integrated into the suggested …