NDLI: On the viability of microservers for financial analytics

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On the viability of microservers for financial analytics

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On the viability of microservers for financial analytics

Content Provider	ACM Digital Library
Author	Nikolopoulos, Dimitrios S. Faloon, Richard Gillan, Charles J Spence, Ivor Tzenakis, George Georgakoudis, Giorgis
Abstract	Energy consumption and total cost of ownership are daunting challenges for Datacenters, because they scale disproportionately with performance. Datacenters running financial analytics may incur extremely high operational costs in order to meet performance and latency requirements of their hosted applications. Recently, ARM-based microservers have emerged as a viable alternative to high-end servers, promising scalable performance via scale-out approaches and low energy consumption. In this paper, we investigate the viability of ARM-based microservers for option pricing, using the Monte Carlo and Binomial Tree kernels. We compare an ARM-based microserver against a state-of-the-art x86 server. We define application-related but platform-independent energy and performance metrics to compare those platforms fairly in the context of datacenters for financial analytics and give insight on the particular requirements of option pricing. Our experiments show that through scaling out energy-efficient compute nodes within a 2U rack-mounted unit, an ARM-based microserver consumes as little as about 60% of the energy per option pricing compared to an x86 server, despite having significantly slower cores. We also find that the ARM microserver scales enough to meet a high fraction of market throughput demand, while consuming up to 30% less energy than an Intel server.
Starting Page	29
Ending Page	36
Page Count	8
File Format	PDF
ISBN	9781479970278
DOI	10.1109/WHPCF.2014.11
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-16
Access Restriction	Subscribed
Subject Keyword	Numerical computing Power consumption Option pricing Financial analytics Monte carlo Event processing Numerical simulation Energy efficiency Binomial tree Microservers
Content Type	Text
Resource Type	Article

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