Topic: Introduction to 5G Mobile Edge and Fog Computing and Innovative Applications

Time: NCTU ED117, 15:30-16:30

Speaker Bio:   

Jen-Shun Yang (楊人順, Tonny Yang) was born in Taiwan, R.O.C., in 1967. He received Ph.D. degree in Computer Science and Information Engineering from National Chiao Tung University, Hsinchu, Taiwan, R.O.C., in 2003. He is currently the Manager in the Deportment of Advanced Communication Technology & Standard Development, Division of Video & Multimedia Communications Technology at Information & Communications Research Laboratories, Industrial Technology Research Institute, Hsinchu, Taiwan, R.O.C. His research interests include 5G New Generation/Radio Mobile Communications, WiFi (Wireless LAN), Proximity-based communication (Device-to-Device Communications), Movable Cell, Mobile Computing, High-speed networks and 3GPP Wireless Mobile communications.

He has been worked as an ITRI delegate for participating IEEE 802.11, IEEE 802.16 and WiMAX Forum standard meetings from 2005 to 2013, and now, he is leading a research team actively joining 3GPP SA/RAN plenary and SA1/RAN2/RAN1 working Group. From 2015, his team has also successfully joined two continue European Horizon 2020 5G research projects: 5G Crosshaul (2015/07-2017/12) and 5G CORAL (2017/09~2019/08) receiving a rare opportunity to co-work with world leading communication companies and research laboratories.

Abstract:

 In 2017, ITRI’s Fog computing team won an EU-TW collaborative project named 5G-CORAL. We proposed a novelty edge computing architecture: “Hierarchical multi-tier computing infrastructure”, targeting the convergent 5G multi-RAT access through an integrated virtualized edge and fog solution. Through 5G-CORAL solution, several Key Performance Indicators (KPIs) can be achieved, notably an ultra-low end-to-end latency in the order of milliseconds. Moreover, new business prospects arise with networking assets in the local service area, such as in shopping malls, airports, trains and cars. This talk will also present ITRI team’s current achievements in Fog Computing.