A Scalable Systems Approach to Big Data Challenges

Hong Jiang
National Science Foundation and the University of Nebraska - Lincoln
Wachman 1015D
Tuesday, May 7, 2013 - 11:00

Everyday 2.5 quintillion (2.5x1018, 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 and great variety (i.e., the 3 Vs) with which digital data are being produced in the world. I will then present research being conducted in my research group that seeks a scalable systems and application-focused approach to addressing some of the challenges, from the manycore and storage architectures to the systems and up to the applications.