Prof. Ying-Dar Lin

Title: Federating cloud, edge, and fog systems with 3rd-party authentication: 24 combinations and beyond


Ying-Dar Lin is a Chair Professor of computer science at National Chiao Tung University (NCTU), Taiwan. He received his Ph.D. in computer science from the University of California at Los Angeles (UCLA) in 1993. He was a visiting scholar at Cisco Systems in San Jose during 2007–2008, CEO at Telecom Technology Center, Taiwan, during 2010-2011, and Vice President of National Applied Research Labs (NARLabs), Taiwan, during 2017-2018. He cofounded L7 Networks Inc. in 2002, later acquired by D-Link Corp. He also founded and directed Network Benchmarking Lab (NBL) from 2002, which reviewed network products with real traffic and automated tools, also an approved test lab of the Open Networking Foundation (ONF), and spun off O’Prueba Inc. in 2018. His research interests include machine learning for network security, wireless communications, network softwarization, mobile edge computing, and machine learning to communications and cybersecurity. His work on multi-hop cellular was the first along this line, and has been cited over 1000 times and standardized into IEEE 802.11s, IEEE 802.15.5, IEEE 802.16j, and 3GPP LTE-Advanced. He is an IEEE Fellow (class of 2013), IEEE Distinguished Lecturer (2014–2017), ONF Research Associate (2014-2018), and received K. T. Li Breakthrough Award in 2017 and Research Excellence Award in 2017 and 2020. He has served or is serving on the editorial boards of many IEEE journals and magazines, including Editor-in-Chief of IEEE Communications Surveys and Tutorials (COMST) with impact factor increased from 9.22 to 29.83 during his term (2017-2020). He published a textbook, Computer Networks: An Open Source Approach, with Ren-Hung Hwang and Fred Baker (McGraw-Hill, 2011).


Keynote Invitation

Watch Prof. Ying-Dar Lin’s keynote invitation

Cloud, edge, and fog computing paradigms provide computing and storage services. However, one computing paradigm cannot fulfil all requirements in latency, throughput, and coverage. Thus, there is a need of “federation” among these paradigms, which is beneficial to both subscribers and service providers. Subscribers could get one-account-service-anywhere. Providers could lease capacity from each other. Such a federation gives rise to many new opportunities and challenges among which authentication, especially 3rd-party, is the most important one as these computing paradigms belong to different trust domains. A federation must allow subscribers (1st party) from one trust domain (2nd party) to authenticate themselves with another trust domain (3rd party) without having to create a new account. This gives rise to 24 federation combinations among the cloud, edge, and fog, and we boil them down to six major research problems. After an overview of our research roadmap on these problems, we present a proxy-based solution to the problems, including Cloud-to-Edge, Edge-to-Edge, 5G MEC, Cloud-to-Fog, Edge-to-Fog, and Fog-Fog. We then move beyond 24 possible combinations and present the concept of “universal proxy” that provides federated authentication among various protocols belonging to different computing paradigms. We implement solutions to these problems and present selected results collected on our testbed.