Internet-scale service infrastructure efficiency

James R. Hamilton
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引用次数: 62

Abstract

High-scale cloud services provide economies of scale of five to ten over small-scale deployments, and are becoming a large part of both enterprise information processing and consumer services. Even very large enterprise IT deployments have quite different cost drivers and optimizations points from internet-scale services. The former are people-dominated from a cost perspective whereas internet-scale service costs are driven by server hardware and infrastructure with people costs fading into the noise at less than 10%. In this talk we inventory where the infrastructure costs are in internet-scale services. We track power distribution from 115KV at the property line through all conversions into the data center tracking the losses to final delivery at semiconductor voltage levels. We track cooling and all the energy conversions from power dissipation through release to the environment outside of the building. Understanding where the costs and inefficiencies lie, we'll look more closely at cooling and overall mechanical system design, server hardware design, and software techniques including graceful degradation mode, power yield management, and resource consumption shaping.
互联网规模的服务基础设施效率
与小规模部署相比,大规模云服务提供了5到10倍的规模经济,并且正在成为企业信息处理和消费者服务的重要组成部分。即使是非常大的企业IT部署,其成本驱动因素和优化点也与互联网规模的服务大不相同。从成本的角度来看,前者是以人为主导的,而互联网规模的服务成本是由服务器硬件和基础设施驱动的,人力成本在不到10%的情况下逐渐消失。在这次演讲中,我们列出了互联网规模服务的基础设施成本。我们跟踪从115千伏到所有转换到数据中心的配电,跟踪损耗到半导体电压水平的最终交付。我们跟踪冷却和所有的能量转换,从耗散到释放到建筑外部的环境。了解成本和低效率的所在,我们将更仔细地研究冷却和整体机械系统设计、服务器硬件设计和软件技术,包括优雅的降级模式、功率产生管理和资源消耗塑造。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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