DocumentCode :
624317
Title :
An application-aware approach to systems support for big data [Keynote address]
Author :
Jiang, Hong
fYear :
2013
fDate :
5-7 June 2013
Firstpage :
1
Lastpage :
1
Abstract :
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.
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application-Specific Systems, Architectures and Processors (ASAP), 2013 IEEE 24th International Conference on
Conference_Location :
Washington, DC, USA
ISSN :
2160-0511
Print_ISBN :
978-1-4799-0494-5
Type :
conf
DOI :
10.1109/ASAP.2013.6567537
Filename :
6567537
Link To Document :
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