Dr. Daniel M. Dias
“Cloud 3.0: Industry Transformation on the Cloud”
The first phase of cloud was focussed on cost and capex reduction; the second phase is on agility and cloud DevOps; the emerging third phase is about cloud becoming the business innovation platform and the home of industry transforming solutions. A key underlying trend is that much of the newly generated data is born or lives on the cloud. Consequently, emerging high value workloads generate business insights by linking data from a variety of sources, particularly from Systems of Record and Systems of Engagement, at cloud scale and speed; we call these Systems of Insight. We describe several such cloud-based Systems of Insight including genomics, social intelligence and Internet-of-things solutions and describe a cloud platform for supporting these and other emerging industry solutions. These solutions and workloads have impact on cloud data center design because they lead to high “east-west” traffic within the data center, as opposed to “north-south” traffic between clients and the data center; we describe how dynamically composable systems can efficiently host such workloads with varying memory, network and storage requirements. As sensitive workloads and data migrate to the cloud, security and compliance become paramount, and we outline how this can be addressed with adaptive, contextual security. Finally, we outline the research issues that need to be addressed to realize the full potential of industry transformation on the cloud.
Dr. Daniel M. Dias is the director of cloud innovation technologies, at the IBM T. J. Watson Research Center, Yorktown Heights, New York. He is responsible for world-wide research related to IBM’s cloud service offerings, including enterprise-grade, highly scalable and available public, private and hybrid clouds, cloud applications services and industry solutions.
For more than three decades, Dr. Dias has led pioneering research in scalable commercial computing systems, and he has been director of research labs and teams on three continents. Previously, he was founding director of IBM Research – Brazil, and director of the IBM India Research Lab. Earlier, he was director of Service Product Technologies, at the IBM T.J. Watson Research Center, Hawthorne, New York, with responsibility for leading world-wide research in technologies for advanced service products, including service management, mobile computing and management, and SOA technologies. Dan previously led the internet infrastructure and computing utilities department at the IBM T.J. Watson Research Center, where he and his team built one of the first scalable and highly available Web servers, with key patents and papers, forming the basis for IBM offerings and products in this area.
Dr. Dias is co-inventor on more than 50 issued US patents, and co-author of more than 90 refereed publications. He received the M.S. and Ph.D. degrees from Rice University, Houston, Texas, USA, both in Electrical Engineering. He is an IBM Distinguished Engineer, a member of the IBM Academy of Technology, and a Fellow of the IEEE, where he was recognized for his contributions to Scalable Commercial Systems.
Dr. Sang Hyuk Son
“Smart Mobility: Applying Cyber Physical Systems to Transportation”
With continuing miniaturization and increased wireless connectivity, the computing systems are becoming deeply embedded into everyday life and interact with objects and events of the physical world. This cyber-physical interaction has the potential to transform how humans interact with and control the physical world. Systems featuring a tight combination of, and coordination between, the system’s computational and physical elements are broadly called cyber physical systems (CPS). Examples of CPS include medical devices and systems, smart vehicles and transportation systems, smart grids, robotic systems, and smart spaces. Advances in key technologies are changing how these types of systems operate. For instance, the level of uncertainty in which these systems operate is increasing, creating the need for greater robustness. Pervasive wireless access is pushing these systems to unprecedented dynamic and non-deterministic situations. In this talk, we discuss the research activities at DGIST to address some of the research challenges in CPS, and present our effort to applying CPS to vehicles and transportation systems to improve efficiency, safety, and security. As one example, we introduce our approach to dealing with traffic congestion, which is a growing problem worldwide, causing time/fuel waste, pollution, and even stress.
Sang Hyuk Son is the Director of CPS Global Center and Department Chair of Information and Communication Engineering at DGIST. He has been a Professor of Computer Science Department at the University of Virginia, and WCU Chair Professor at Sogang University. He received the B.S. degree in electronics engineering from Seoul National University, M.S. degree from KAIST, and the Ph.D. in computer science from University of Maryland, College Park. He has been a Visiting Professor at KAIST, City University of Hong Kong, Ecole Centrale de Lille in France, and Linkoping University and University of Skovde in Sweden.
Prof. Son is IEEE Fellow. He has served as the chair of the IEEE Technical Committee on Real-Time Systems during 2007-2008. He is serving as an Associate Editor for Real-Time Systems Journal and Journal on Self Computing, and has served on the editorial board of IEEE Transactions on Computers and IEEE Transactions on Parallel and Distributed Systems. He is a founding member of ACM/IEEE CPS Week, and serving as a member of the steering committee for RTCSA, Cyber Physical Systems Week, and SEUS. He received the Outstanding Contribution Award form Cyber Physical Systems Week in 2012. His research interests include cyber physical systems, real-time and embedded systems, database and data services, and wireless sensor networks. He has written or co-authored over 300 papers and edited/authored four books in these areas. His research has been funded by Korean Government, National Research Foundation, USA National Science Foundation, DARPA, Office of Naval Research, Department of Energy, National Security Agency, and IBM.