题目：Data-as-a-Service Framework for Cyber-
Physical-Social Big Data
报告人：Prof. Laurence T. Yang
St Francis Xavier University, Canada
Huazhong University of Science and Technology, China
Abstract: The booming growth and rapid development in embedded systems, wireless communications, sensing techniques and emerging support for cloud computing and social networks have enabled researchers and practitioners to create a wide variety of Cyber-Physical-Social (CPS) Systems that reason intelligently, act autonomously, and respond to the users’ needs in a context and situation-aware manner. The CPS systems are the integration of computation, communication and control with the physical world, human knowledge and sociocultural elements. It is a novel emerging computing paradigm and has attracted wide concerns from both industry and academia in recent years.
Generally, CPS systems collect massive data (Volume) from the physical world by various physical perception devices (Variety) in structured/semistructured/ unstructured format and respond the users’ requirements immediately (Velocity) and provide the proactive services (Veracity) for them in physical space or social space. These collected big data are normally high dimensional, redundant and noisy, and beyond the processing capacity of the computer systems.
This talk will present our latest research about a Data-as-a-Service framework which includes data representation, dimensionality reduction, processing (securely) and proactive service layers aiming at representing and processing the big data generated from CPS systems and providing more valued smart services. Corresponding case studies in some applications such as smart home and campus will be shown to demonstrate the feasibility and flexibility of the proposed framework.
Short Bio: Dr. Laurence T. Yang got his BE in Computer Science and Engineering from Tsinghua University and Ph.D in Computer Science from University of Victoria, Canada. He is a professor at School of Computer Science and Technology, Huazhong University of Science and Technology, China and Department of Computer Science of St. Francis Xavier University, Canada. His current research includes parallel and distributed computing, embedded and ubiquitous/pervasive computing, and big data.