Abstract: In this talk, Dr. Hwang addresses the growing interest in big-data science surrounding the use of cloud analytics, social networks and Internet of things (IoT). He will assess critical issues to upgrade big-data analysis, privacy and cloud security. The purpose is to achieve enhanced ubiquity, mobility, security, scalability and quality of service (QoS) of clouds and highly-visited social networks or datacenters. In particular, he will evaluate the widespread use of clouds over massive datasets generated by e-business, social networks, sensors, RFID, GPS, etc. His talk reveals major R/D challenges and presents new approaches to preserving data privacy, assuring cloud security, and enhacing cyber intelligence.  

       To remove the security and trust barriers in datacenter-based clouds, he examines the top-10 security and privacy issues released by Cloud Security Alliance in Nov. 2012. Some new approaches and hidden opportunities are discussed towads the building of a trusted and intelligent cloud computing environment over both structured and unstructured big datasets. Finally, he compares the security and capability in BYOD (Bring Your Own Devices) solutions with those offered by the new BYOC (Bring Your Own Clouds) approach for inter-cloud (mashup) applications. The seminar will be presented primarily in Chinese over English-based power-point illustrative slides.   

 

Biographical Sketch: Kai Hwang is a Professor of EE/CS at the University of Southern California (USC). He is also an EMC-endowed visiting Chair Professor at Tsinghua University. He received the Ph.D. from University of California, Berkeley in 1972. He has published 8 books and over 220 scientific papers in computer architecture, parallel processing, distributed systems, cloud computing and network security. His books have been adopted worldwide and translated into 4 foreign languages. His works have been cited more than 12,000 times with an h-index of 48. His latest book: Distributed and Cloud Computing was published by Morgan Kaufmann in 2012 and the Chinese edition was published by Hua-Zhang Books in early 2013.

          Dr. Hwang was recognized with an IEEE Fellow in 1986. He received the very-first 2004 CFC Outstanding Achievement Award, the IPDPS-2011 Founder’s Award, and the Lifetime Achievement Award from the IEEE Cloud2012 for his pioneering work in parallel computing and distributed systems.  He has served as the founding Editor-in-Chief of the Journal of Parallel and Distributed Computing for 28 years. He has produced numerious Ph.D students at Purdue University and at USC. Four of his former Ph.D students are elected IEEE Fellows and one recognized as an IBM Fellow. He has delivered three dozens of keynote addresses on advanced computing systems and cutting-edge information technologies in major IEEE/ACM Conferences. Hwang has performed advisory, consulting and collaborative work for IBM, Intel, MIT Lincoln Lab, JPL at Caltech, ETL in Japan, Academia Sinica in China, GMD in Germany, and INRIA in France. He can be reached via Email: kaihwang@usc.edu.