SCROOGEVM:利用动态超额订购提高云资源利用率

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Transactions on Sustainable Computing Pub Date : 2024-02-23 DOI:10.1109/TSUSC.2024.3369333
Pierre Jacquet;Thomas Ledoux;Romain Rouvoy
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引用次数: 0

摘要

尽管不断改进,但云物理资源仍未得到充分利用,从而严重影响了这些基础设施的整体效率。为了克服这种效率低下的问题,基础设施即服务(IaaS)提供商通常通过提供比主机上物理可用资源更多的虚拟资源来补偿过大的虚拟机(VM)。然而,当静态定义的超额认购比率导致托管虚拟机出现资源争用时,这种被称为超额认购的技术可能会影响性能。因此,本文研究了如何通过贪婪地提高每台物理机(PM)和每种资源类型的超量订购比例来保持性能目标,而不是设置一个静态的、全集群范围的比例。在保持性能不变的情况下,我们的贡献可以更现实地应用于生产规模的 IaaS 基础设施。这项贡献被命名为 ScroogeVM,它利用对 PM 稳定性的检测,谨慎地提高相关的超额订购比率。基于公共云提供商共享的指标,我们研究了资源超额订购对性能下降的影响。随后,我们对 ScroogeVM 与最先进的超额订购计算方法进行了比较分析。结果表明,我们的方法利用了持久虚拟机的存在,同时避免了实时迁移惩罚和对利益相关者的性能影响,因此优于现有方法。
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SCROOGEVM: Boosting Cloud Resource Utilization With Dynamic Oversubscription
Despite continuous improvements, cloud physical resources remain underused, hence severely impacting the efficiency of these infrastructures at large. To overcome this inefficiency, Infrastructure-as-a-Service (IaaS) providers usually compensate for oversized Virtual Machines (VMs) by offering more virtual resources than are physically available on a host. However, this technique—known as oversubscription —may hinder performances when a statically-defined oversubscription ratio results in resource contention of hosted VMs. Therefore, instead of setting a static and cluster-wide ratio, this article studies how a greedy increase of the oversubscription ratio per Physical Machine (PM) and resources type can preserve performance goals. Keeping performance unchanged allows our contribution to be more realistically adopted by production-scale IaaS infrastructures. This contribution, named ScroogeVM , leverages the detection of PM stability to carefully increase the associated oversubscription ratios. Based on metrics shared by public cloud providers, we investigate the impact of resource oversubscription on performance degradation. Subsequently, we conduct a comparative analysis of ScroogeVM with state-of-the-art oversubscription computations. The results demonstrate that our approach outperforms existing methods by leveraging the presence of long-lasting VMs, while avoiding live migration penalties and performance impacts for stakeholders.
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来源期刊
IEEE Transactions on Sustainable Computing
IEEE Transactions on Sustainable Computing Mathematics-Control and Optimization
CiteScore
7.70
自引率
2.60%
发文量
54
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