结合微和应用程序基准的云基准套件

Joel Scheuner, P. Leitner
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引用次数: 19

摘要

微和应用程序性能基准通常用于指导云服务的选择。然而,它们通常在难以重现的设置中孤立地考虑,并且执行策略存在缺陷。本文提出了一种新的执行方法,它将微基准和应用程序基准结合到一个名为RMIT Combined的基准套件中,将该套件集成到一个自动化的云基准测试环境中,并实现了可重复的执行策略。此外,还提供了一个名为WPBench的新编写的Web服务基准,其中包含三种不同的负载场景。在Amazon EC2云中的一个案例研究表明,对于Web服务基准WPBench来说,选择一种经济高效的实例类型可以提供高达40%的性能提升,同时成本降低40%。与先前的研究相反,我们的研究结果表明,网络性能不再发生相关变化。我们的结果还表明,对于I/ o繁重的工作负载,选择一种现代类型的虚拟化可以将磁盘利用率提高10%。
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A Cloud Benchmark Suite Combining Micro and Applications Benchmarks
Micro and application performance benchmarks are commonly used to guide cloud service selection. However, they are often considered in isolation in a hardly reproducible setup with a flawed execution strategy. This paper presents a new execution methodology that combines micro and application benchmarks into a benchmark suite called RMIT Combined, integrates this suite into an automated cloud benchmarking environment, and implements a repeatable execution strategy. Additionally, a newly crafted Web serving benchmark called WPBench with three different load scenarios is contributed. A case study in the Amazon EC2 cloud demonstrates that choosing a cost-efficient instance type can deliver up to 40% better performance with 40% lower costs at the same time for the Web serving benchmark WPBench. Contrary to prior research, our findings reveal that network performance does not vary relevantly anymore. Our results also show that choosing a modern type of virtualization can improve disk utilization up to 10% for I/O-heavy workloads.
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