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Evaluating Spark over Hadoop for Fast Big Data Analytics in Public Clouds 学术报告


发布日期:2015-05-25 浏览数:

时间2015528日,周四,下午2:00PM 4:30PM

地点E316

 

报告题目Evaluating Spark over Hadoop for Fast Big Data Analytics in Public Clouds

报告人:黄铠教授

报告内容简介

In this talk, Dr. Hwang will introduce and assess two of the most important software libraries : Hadoop and Spark. The goal is to enable fast and efficient cloud processing and analysis of big data collected in scientific discovery, social/media/mobile Apps, health-care and environmental protection areas.

黄铠教授简介

Dr. Kai Hwang is a Professor of Computer Science and Engineering at the University of Southern California (USC). He received the Ph.D from UC Berkeley. He is the first “CCF Award for Oversea Outstanding Contributions” winner. He is also an EMC-endowed visiting Chair Professor at Tsinghua University. Dr. Hwang was recognized with an IEEE Fellow in 1986. He is an IEEE Life Fellow and world renowned scholar in computer architecture, parallel processing, distributed systems, cloud computing and network security. He has produced numerous Ph.D students at Purdue University and at USC. Four of them were elected IEEE Fellows and one an IBM Fellow. He has published 8 books and over 240 scientific papers. His books have been adopted worldwide and translated into Chinese, Korean, Spanish, and German languages. His works have been cited more than 13,000 times with an h-index of 50. His latest book, Distributed and Cloud Computing, was published by Kaufmann in 2012.

 

南昌大学科技处

信息工程学院

2015525
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