An OpenStack-Based Resource Optimization Scheduling Framework

Yu Huanle, S. Weifeng, Bai Tingting
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引用次数: 10

Abstract

This paper analyzes the current mainstream open-source Open Stack cloud platform resource scheduling mechanism, and proposes an extensible resource optimization scheduling framework based on Open Stack. The framework divides the physical hyper visor host into multiple logical resource pools. It not only can configure global resources optimization strategy for individual resource pool, but also specify local resources optimization strategies for each resource pool. The results show that the multi-resource pool resource optimization scheduling optimization framework proposed in this article is good for Open Stack resource optimization, performance isolation and security isolation, and has a good extension.
基于openstack的资源优化调度框架
分析了当前主流的开源Open Stack云平台资源调度机制,提出了一种基于Open Stack的可扩展资源优化调度框架。框架将物理hypervisor主机划分为多个逻辑资源池。它不仅可以为单个资源池配置全局资源优化策略,还可以为每个资源池指定局部资源优化策略。结果表明,本文提出的多资源池资源优化调度优化框架对Open Stack的资源优化、性能隔离和安全隔离都有较好的效果,并具有良好的可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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