Unitizing Performance of IaaS Cloud Deployments

P. Berndt, Johannes Watzl
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引用次数: 4

Abstract

In order to establish a broader market for cloud computing, offers must be made comparable. Several efforts exist to compare performance of products from different providers and convey an idea of what to expect by means of (periodical) reports. Yet, buying IaaS cloud compute resources remains a blind bargain. The actual performance of a customer's deployment may, for various reasons, be substantially different from such third-party reports. Particularly, a cloud user cannot rely on receiving the same performance, be it because of higher load or arbitrary cloud reconfiguration. To render service levels of different cloud products meaningful and comparable within and across providers, these will have to commit themselves to providing performance according to some reference measure that also regards virtualization, resource allocation and isolation. Though the actual benchmarks will likely differ across application and market niches, the methodology to define, measure and guarantee performance remains the same. In this paper we propose a method for quantifying, determining and ensuring performance on the basis of a performance unit that conveys what performance can be expected from a VM deployment and is suitable for use in SLAs. The abstract approach is exemplified and validated by a case study with concrete benchmarks on a KVM-based cloud.
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统一IaaS云部署性能
为了为云计算建立一个更广阔的市场,报价必须具有可比性。目前存在一些比较不同供应商产品性能的努力,并通过(定期)报告传达期望的想法。然而,购买IaaS云计算资源仍然是盲目的交易。由于各种原因,客户部署的实际性能可能与此类第三方报告存在很大差异。特别是,由于更高的负载或任意的云重新配置,云用户不能依赖于获得相同的性能。为了使不同云产品的服务水平在提供商内部和提供商之间具有意义和可比性,这些提供商必须承诺根据一些参考度量来提供性能,这些度量也考虑到虚拟化、资源分配和隔离。尽管实际的基准可能会因应用程序和市场而异,但定义、测量和保证性能的方法是相同的。在本文中,我们提出了一种基于性能单元的量化、确定和确保性能的方法,该性能单元传达了从VM部署中可以预期的性能,并且适合在sla中使用。抽象的方法通过在基于kvm的云上使用具体基准的案例研究进行了举例和验证。
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