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 …
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
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 …
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
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 …
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 …
computing is critical for cloud providers. However, as the demand for cloud resources from …
A Discrete Prey–Predator Algorithm for Cloud Task Scheduling
Cloud computing is considered a key Internet technology. Cloud providers offer services
through the Internet, such as infrastructure, platforms, and software. The scheduling process …
through the Internet, such as infrastructure, platforms, and software. The scheduling process …
An Evolutionary Algorithm for Task Clustering and Scheduling in IoT Edge Computing
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 …
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 …
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.
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 …
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
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 …
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 …
and integrating an efficient heuristic. These enhancements are integrated into the suggested …