在云计算中,具有元类型资源的公平有效的分配机制
1School of Computer and Data Science, Henan University of Urban Construction, Pingdingshan, 467000, China.
Scientific reports
|November 5, 2025
概括
我们开发了GAF-MT,这是云计算的新型资源分配机制. 这种系统确保了公平性,并提高了资源利用率,即使用户需求不同,负载高.
科学领域:
- 云计算 云计算 云计算 云计算
- 资源管理 资源管理
- 算法优化 算法优化
背景情况:
- 在云计算系统中,平衡资源利用效率和用户公平性是具有挑战性的,因为需求多样化和资源异质化.
- 现有的方法很难有效地管理复杂的资源景观和用户需求.
研究的目的:
- 提出GAF-MT,一个基于元类型的资源分配机制.
- 提高云计算资源分配的公平性和效率.
- 为应对各种用户需求和异质资源类型所带来的挑战.
主要方法:
- 引入了用于结构化资源分组和建模用户特定需求的元类型.
- 开发了一个调度算法,以找到可行的解决方案.
- 使用GUROBI实现了GAF-MT机制.
主要成果:
- GAF-MT有效地确保了用户之间的公平性.
- 显著提高了整体资源利用率.
- 在高用户负载下保持高系统性能.
- 减少了资源的碎片化.
结论:
- GAF-MT为云资源分配提供了公平有效的解决方案.
- 超级类型的方法有效地处理不同的用户需求和异质资源.
- 在各种实验环境中,GAF-MT表现出卓越的性能和公平性.
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