Methods and Metrics for Fair Server Assessment under Real-Time Financial Workloads
Data(s) |
10/03/2016
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Idioma(s) |
eng |
Direitos |
info:eu-repo/semantics/restrictedAccess |
Fonte |
Georgakoudis , G , Gillan , C J , Sayed , A , Spence , I , Faloon , R & Nikolopoulos , D S 2016 , ' Methods and Metrics for Fair Server Assessment under Real-Time Financial Workloads ' Concurrency and Computation: Practice and Experience , vol 28 , no. 3 , pp. 916-928 . DOI: 10.1002/cpe.3704 |
Tipo |
article |