HARV:利用混合虚拟化来改善公共云中实例(重)的使用

Silvery Fu, Yifei Zhu, Jiangchuan Liu
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引用次数: 1

摘要

在公共云市场中,提供商和用户之间一直在争论云实例的计费选项。用户通常必须为整个计费周期付费,即使是部分使用。理想情况下,剩余的生命周期应该被用户重新出售,这需要有效的资源整合和多路复用;否则,收入和用例将受到实例的短暂性的限制。本文介绍了HARV,一种新颖的云服务,通过第三方平台来运行买方的任务,促进云实例的管理和交易。该平台依赖于混合虚拟化,这是一种集成了基于管理程序的虚拟化和轻量级容器化的基础设施布局。它进一步纳入了一个真实的在线拍卖机制,例如交易和资源分配。我们的设计实现了高效的资源整合,而不需要提供程序级别的支持,并且我们已经在Amazon EC2公共云上部署了HARV的原型。我们对微基准测试和实际工作负载的评估表明,托管在HARV上的应用程序的性能开销可以忽略不计。轨迹驱动的仿真进一步表明,HARV可以实现大量的成本节约。
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HARV: Harnessing hybrid virtualization to improve instance (re)usage in public cloud
In the public cloud market, there has been a constant battle over the billing options of the cloud instances between their providers and their users. The users generally have to pay for the entire billing cycle even on fractional usage. Ideally, the residual life-cycles should be resalable by the users, which demands efficient resource consolidation and multiplexing; otherwise, the revenue and use cases are confined by the transient nature of the instances. This paper presents HARV, a novel cloud service that facilitates the management and trade of cloud instances through a third-party platform to run buyers' tasks. The platform relies on hybrid virtualization, an infrastructure layout integrating both the hypervisor-based virtualization and lightweight containerization. It further incorporates a truthful online auction mechanism for instance trading and resource allocation. Our design achieves efficient resource consolidation with no need for provider-level support, and we have deployed a prototype of HARV on the Amazon EC2 public cloud. Our evaluations on both micro-benchmarks and real-life workloads reveal that applications experience negligible performance overhead when hosted on HARV. Trace-driven simulations further show that HARV can achieve substantial cost savings.
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