Research on Parallel Task Scheduling Algorithm of SaaS Platform Based on Dynamic Adaptive Particle Swarm Optimization in Cloud Service Environment

Research on Parallel Task Scheduling Algorithm of SaaS Platform Based on Dynamic Adaptive Particle Swarm Optimization in Cloud Service Environment

Abstract To efficiently realize the parallel task scheduling of SaaS platform in large-scale cloud service environment, this paper studies the parallel task scheduling algorithm of SaaS platform based on dynamic adaptive particle swarm optimization in cloud service environment. Users access the clou...

Full description

Bibliographic Details
Main Authors: Jian Zhu, Qian Li, Shi Ying, Zhihua Zheng
Format: Article
Language:English
Published: Springer 2024-10-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Cloud service environment
Dynamic adaptation
Particle swarm
SaaS platform
Parallel task scheduling
Load leveling
Online Access:https://doi.org/10.1007/s44196-024-00666-7

Internet

https://doi.org/10.1007/s44196-024-00666-7

Similar Items