Methods and metrics for fair server assessment under real-time financial workloads
Methods and metrics for fair server assessment under real-time financial workloads
复制标题
实时金融工作负载下公平服务器评估的方法和指标
DOI：
10.1002/cpe.3704
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Georgakoudis G
中科院分区：
文献类型：
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作者：
Georgakoudis G
我们提出了一个严格的方法和新的指标，公平比较服务器和微服务器平台。通过部署我们的方法和指标，我们将一台ARM内核的微服务器与两台运行相同真实的实时财务分析工作负载的×86内核的服务器进行了比较。我们定义了特定于工作负载但独立于平台的性能指标，用于平台比较，目标是数据中心运营商和最终用户。我们的方法确定了基于至强融核协处理器的服务器可提供最高的性能和能效。然而，通过横向扩展节能微服务器，我们实现了与具有两个桑迪Bridge插槽的同等功率服务器相比具有竞争力或更高的能效，尽管微服务器的内核速度较慢。使用一个新的iso‐QoS指标，我们发现ARM微服务器的扩展足以满足市场吞吐量的需求，也就是说，100%的QoS在及时的选项定价方面，与桑迪桥服务器消耗的能源只有55%。版权所有© 2015约翰威利父子有限公司.
We present a rigorous methodology and new metrics for fair comparison of server and microserver platforms. Deploying our methodology and metrics, we compare a microserver with ARM cores against two servers with ×86 cores running the same real‐time financial analytics workload. We define workload‐specific but platform‐independent performance metrics for platform comparison, targeting both datacenter operators and end users. Our methodology establishes that a server based on the Xeon Phi co‐processor delivers the highest performance and energy efficiency. However, by scaling out energy‐efficient microservers, we achieve competitive or better energy efficiency than a power‐equivalent server with two Sandy Bridge sockets, despite the microserver's slower cores. Using a new iso‐QoS metric, we find that the ARM microserver scales enough to meet market throughput demand, that is, a 100% QoS in terms of timely option pricing, with as little as 55% of the energy consumed by the Sandy Bridge server. Copyright © 2015 John Wiley & Sons, Ltd.