全硅数据中心,能源展望

Antonio Scarfò
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引用次数: 2

摘要

尽管相关技术和经济危机的效率显著提高,但与数据中心相关的能源消耗仍在不断增加。虚拟化的广泛采用、PUE的降低以及与能源效率相关的新功能都无法阻止这一增长趋势,这主要得益于固定和移动ICT市场中云服务的爆炸式增长。导致数据中心能源需求增加的最重要因素之一是云环境中数据利用的演变。大数据支持是这一过程的主要驱动力之一,新的数据源不断产生大量的非结构化数据,这些数据应该存储在大型集中存储系统中,供云用户访问并由公司实时分析。这对承载上述存储资源的数据中心的能耗产生了破坏性影响,这就是为什么需要以IOPS密集型的方式存储和分析数据。闪存技术可以在这种情况下发挥关键作用,因为它们可以显着减少存储空间和能源消耗,提高应用程序性能,带来可观的经济效益。传统技术无法支持存储架构的这种基本效率和性能改进,因为它们不是为使用闪存技术而设计的,而是基于耗能巨大的传统机械磁盘。这限制了传统存储系统中安装的固态硬盘(SSD)的能效和性能,为开发能够充分利用闪存盘潜力的新技术打开了大门。这项工作的目的是对闪存技术的潜力进行简要调查,以提高支持即将到来的大数据服务的数据中心存储系统的能源效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
All Silicon Data Center, the Energy Perspectives
The energy consumption related to data centers is ever increasing, despite the significant efficiency improvements in the involved technologies and the economic crisis. Pervasive adoption of virtualization, decreasing of PUE as well as new features related to energy-efficiency are not able to stop this growth trend, mainly sustained from the explosion of cloud services in both the fixed and mobile ICT markets. One of the most important factors that contributes to the increase in the data center energy demand is the evolution of data utilization in cloud environments. Big data support is one of the main driver of this process, new data sources continuously produce huge amounts of mostly unstructured data, that should be stored in large centralized storage systems to be accessed by the cloud users and analyzed by the companies in real time. This has a disruptive effect for the energy consumption of the data center hosting the above storage resources, that's why the data need to be stored and analyzed in IOPS intensive style. Flash memory technologies can play a key role in such scenario, since they can reduce dramatically both the storage footprint and energy consumption and increase applications performances bringing appreciable economic benefits. This fundamental efficiency and performance improvement for storage architectures can't be supported by legacy technologies because they are not designed to use flash technologies but rather they are based on energy-hungry legacy mechanical disks. That is limit the energy efficiency and performance delivered by solid state disks (SSD) installed in legacy storage systems, opening the door to the development of new technologies that will be able to fully exploit the potential of flash disks. The aim of this work is presenting a brief survey about the potential of flash technologies for improving the energy efficiency of data center storage systems supporting the incoming Big Data services.
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