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Demystifying cloud benchmarking

机译:揭秘云基准测试

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摘要

The popularity of online services has grown exponentially, spurring great interest in improving server hardware and software. However, conducting research on servers has traditionally been challenging due to the complexity of setting up representative server configurations and measuring their performance. Recent work has eased the effort of benchmarking servers by making benchmarking software and benchmarking instructions readily available to the research community. Unfortunately, the existing benchmarks are a black box; their users are expected to trust the design decisions made in the construction of these benchmarks with little justification and few cited sources. In this work, we have attempted to overcome this problem by building new server benchmarks for three popular network-intensive workloads: video streaming, web serving, and object caching. This paper documents the benchmark construction process, describes the software, and provides the resources we used to justify the design decisions that make our benchmarks representative for system-level studies.
机译:在线服务的受欢迎程度成倍增长,激起了对改进服务器硬件和软件的浓厚兴趣。但是,由于设置代表性服务器配置和衡量其性能的复杂性,在服务器上进行研究传统上一直具有挑战性。通过使基准测试软件和基准测试说明易于研究团体使用,最近的工作减轻了基准服务器的工作。不幸的是,现有的基准是一个黑匣子。他们的用户应该信任这些基准测试中做出的设计决策,理由不多,引用来源也很少。在这项工作中,我们尝试通过为三种流行的网络密集型工作负载(视频流,Web服务和对象缓存)建立新的服务器基准来解决此问题。本文记录了基准测试的构建过程,描述了软件,并提供了用于证明设计决策合理性的资源,这些决策使我们的基准测试代表了系统级研究。

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