DE-RALBA:用于云计算的动态增强资源意识负载平衡算法
Altaf Hussain1, Muhammad Aleem2, Atiq Ur Rehman1
1Department of Computer Science, KICSIT Campus, Institute of Space Technology, Islamabad, Pakistan.
PeerJ. Computer science
|March 26, 2025
概括
一个新的动态算法,DE-RALBA,通过在虚拟机之间平衡工作负载,提高了资源利用率,并减少了云环境中的高性能计算 (HPC) 应用程序的工作完成时间.
科学领域:
- 云计算 云计算 云计算 云计算
- 高性能计算 (HPC) 是一种高性能计算.
- 资源管理 资源管理
背景情况:
- 云计算为HPC应用提供可扩展的资源.
- 不高效的资源利用源于异质环境中的工作负载不平衡.
- 静态调度导致资源使用较差,完成时间较长.
研究的目的:
- 提出一个动态增强的资源意识负载平衡算法 (DE-RALBA).
- 为了减轻云计算工作安排中的负载不平衡.
- 为了提高HPC应用的产能和资源利用率.
主要方法:
- 开发了动态增强的资源意识负载平衡算法 (DE-RALBA).
- 使用CloudSim模拟器对DE-RALBA进行了评估.
- 用异质计算调度问题 (HCSP) 和谷歌云工作 (GoCJ) 数据集进行测试.
主要成果:
- 德拉尔巴有效地减轻了云计算工作安排中的负载不平衡.
- 在HCSP实例中实现了高达52.35%的改善资源利用率.
- 与现有算法相比,在GoCJ数据集上展示了优越的资源利用率.
结论:
- 德拉尔巴显著改善了产能和资源利用.
- 该算法为云中高效的HPC工作负载管理提供了一个实用的解决方案.
- 具有DE-RALBA等增强功能的动态调度对于云资源优化至关重要.
相关概念视频
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