.png){kind=icon}
返回
Multi-Objective Optimization Techniques in Cloud Task Scheduling: A Systematic Literature Review
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2025.3529839.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Task scheduling in cloud computing environment aims to identify alternative methods for effectively allocating competing cloud tasks to constrained resources, optimizing one or more objectives. This systematic literature review (SLR) examines advancements in multi-objective optimization techniques for cloud task scheduling from year 2010 to October 2024, providing an up-to-date analysis of the field. Cloud task scheduling, critical for optimizing performance, cost, and resource use, increasingly relies on multi-objective approaches to address complex and competing scheduling goals. This comprehensive review presents a detailed taxonomy and classification of multi-objective optimization methods, highlighting trends and developments across various approaches. Additionally, we conduct a comparative analysis of key scheduling objectives, testing environments, statistical evaluation methods, and datasets employed in recent studies, offering insights into current practices and best-fit approaches for different scenarios. The findings of this SLR aim to guide researchers and practitioners in selecting appropriate techniques, metrics, and datasets, supporting effective decision-making and advancing the design of cloud task scheduling systems.
Keyword:
Optimization
Cloud computing
Scheduling
Processor scheduling
Metaheuristics
Systematic literature review
Measurement
Surveys
Costs
Resource management
Task scheduling
multi-objective
optimization
cloud computing
metaheuristic
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Multi-Objective Cloud Task Scheduling Optimization Based on Evolutionary Multi-Factor Algorithm
PREAI
分享收藏
分享收藏分享收藏An Improved Hybrid Swarm Intelligence for Scheduling IoT Application Tasks in the Cloud一种改进的混合群智能在云中调度物联网应用任务
PREAI
分享收藏Task Scheduling in Cloud Environment-Techniques, Applications, and Tools: A Systematic Literature Review.png)
IEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏
查看更多内容