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引用次数: 1

摘要

只提供摘要形式。人们每天创造2.5万亿字节(2.5×1018,或250万万亿字节)的数据。这些数据无处不在:从传统的科学计算和在线交易,到流行的社交网络和移动应用程序。仅过去两年产生的数据就占当今世界数据的90% !这种惊人的增长和无处不在的数据开启了“大数据”时代,这带来了新的挑战和机遇。在这次演讲中,我将首先讨论计算机和存储系统研究面临的大数据挑战,这些挑战是由世界上产生的海量、高速度、种类繁多和准确性高的数字数据带来的。我将首先介绍NSF与大数据和ASAP相关的一些新的和正在进行的项目。然后,我将介绍我的研究小组正在进行的研究,该研究小组寻求一种可扩展的系统和应用程序感知方法来解决一些挑战,从许多核心和存储架构到系统和应用程序。
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An application-aware approach to systems support for big data
Summary form only given. Everyday 2.5 quintillion (2.5×1018, or 2.5 million trillion) bytes of data are created by people. This data comes from everywhere: from traditional scientific computing and on-line transactions, to popular social network and mobile applications. Data produced in the last two years alone amounts to 90% of the data in the world today! This phenomenal growth and ubiquity of data has ushered in an era of “Big Data”, which brings with it new challenges as well as opportunities. In this talk, I will first discuss big data challenges facing computer and storage systems research, brought on by the huge volume, high velocity, great variety and veracity with which digital data are being produced in the world. I will first introduce some new and ongoing programs at NSF that are relevant to Big Data and to ASAP. I will then present research being conducted in my research group that seeks a scalable systems and application-aware approach to addressing some of the challenges, from the many core and storage architectures to the systems and up to the applications.
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