| Keynote Speakers |
Keynote 1
Title: Pervasive Computing: State-of-the-art and Challenges
Speaker: Zhaohui Wu, Zhejiang University, China
Abstract: Pervasive computing is a human-centric computational paradigm beyond desktop to achieve a convergence of the cyber, physical, and social world with smart devices, smart environments, and smart interactions. In pervasive computing environments, people will receive context-aware proactive services anytime and anywhere in a non-intrusive manner. Since Mark Weiser's vision of "the most profound technologies are those that disappear" was presented in 1991, many efforts have been made in the community to make pervasive computing a reality. This talk will provide a comprehensive overview of recent advances in this field. Trends and challenges will be reviewed, and potential applications of pervasive computing will be discussed. We will also give a brief introduction of our work.
Short Bio: Zhaohui Wu is a professor of the College of Computer Science and Technology at Zhejiang University, China. He is a vice-president of Zhejiang University and the Director of the Institute of Computer System and Architecture. He received the Ph.D. degree from Zhejiang University in 1993. From 1991 to 1993, he was with the German Research Center for Artificial Intelligence (DFKI) as a joint Ph.D. student. He was a visiting professor of the University of Arizona. He is a member of the IT Expert Committee for the National 863 program, a senior member of the IEEE, a standing council member of China Computer Federation. His research interests include intelligent system, semantic grid, and ubiquitous embedded systems. Prof. Wu has authored 4 books and more than 100 refereed papers. He is on the editorial boards of several journals, and has served as PC member for various international conferences.
Keynote 2
Title: Profit Maximization in Cloud Computing Systems
Speaker: Albert Y. Zomaya, Centre for Distributed & High Performance Computing, School of Information Technologies, The University of Sydney, Australia
Abstract: Cloud computing with the great support of virtualization technologies has become a very compelling computing paradigm. A cloud is an aggregation of resources typically operated/provided by an autonomous administrative entity/body (e.g., Amazon, Google or Microsoft). These resources are not restricted to hardware, processors and storage devices, but they can be also software services. While clouds and grids share some common characteristics, there are a number of distinct differences including resource coupling, runtime environment and usage model. Clouds are primarily driven by economics—the pay-per-use business model like for many basic utilities, such as electricity and water. This business model is very attractive for both vendors and customers. From vendor’s perspective, efficient resource management, more specifically resource utilization, plays a crucial role particularly in maximizing profits. Customers can also benefit from efficient resource management in lower service request costs and better response time. This talk will review and address issues associated with this profit-driven resource management.
Short BIO: Albert Y. ZOMAYA is currently the Chair Professor of High Performance Computing & Networking and Australian Research Council Professorial Fellow in the School of Information Technologies, The University of Sydney. He is also the Director of the Centre for Distributed and High Performance Computing which was established in late 2009. Professor Zomaya is the author/co-author of seven books, more than 380 papers, and the editor of nine books and 11 conference proceedings. He is the Editor in Chief of the IEEE Transactions on Computers and serves as an associate editor for 19 leading journals. Professor Zomaya is the recipient of the Meritorious Service Award (in 2000) and the Golden Core Recognition (in 2006), both from the IEEE Computer Society. He is a Chartered Engineer (CEng), a Fellow of the AAAS, the IEEE, the IET (U.K.), and a Distinguished Engineer of the ACM.
Keynote 3
Title: Value Prediction in Parallel Architectures
Speaker: Jean-Luc Gaudiot, Professor, Department of Electrical Engineering and Computer Science, University of California, Irvine
Abstract: The newly emerging many-core-on-a-chip designs have renewed an intense interest in parallel processing. By applying Amdahl’s formulation to the programs in the PARSEC and SPLASH-2 benchmark suites, we find that most applications may not have sufficient parallelism to efficiently utilize modern parallel machines. The long sequential portions in these application programs are caused by computation as well as communication latency. However, value prediction techniques may allow the “parallelization” of the sequential portion by predicting values before they are produced. In conventional superscalar architectures, the computation latency dominates the sequential sections. Thus value prediction techniques may be used to predict the computation result before it is produced. In many-core architectures, since the communication latency increases with the number of cores, value prediction techniques may be used to reduce both the communication and computation latency. We extend these ideas by using GPUs to accelerate programs that contain limited parallelism and those that are hard to parallelize.
Short BIO: Professor Jean-Luc Gaudiot received the Diplôme d'Ingénieur from the École Supérieure d'Ingénieurs en Electronique et Electrotechnique, Paris, France in 1976 and the M.S. and Ph.D. degrees in Computer Science from the University of California, Los Angeles in 1977 and 1982, respectively. He is currently a Professor in the Electrical Engineering and Computer Science Department at the University of California, Irvine. Dr. Gaudiot is a member of AAAS, ACM, and IEEE. He has also chaired the IFIP Working Group 10.3 (Concurrent Systems). He was co-General Chairman of the 1992 International Symposium on Computer Architecture, Program Committee Chairman of the 1993 IFIP Working Conference on Architectures and Compilation Techniques for Fine and Medium Grain Parallelism, the 1993 IEEE Symposium on Parallel and Distributed Processing (Systems Track), the 1995 Parallel Architectures and Compilation Techniques Conference (PACT ‘95), the High Performance Computer Architecture conference in 1999 (HPCA-5), and the 2005 International Parallel and Distributed Processing Symposium.
Keynote 4
Title: Perspectives on Individual-aware Computing and Cyber-I
Speaker: Jianhua Ma, Professor and Ph.D, MUSE Lab (Multimedia Ubiquitous Smart Environment), Head of Department of Digital Media,
Faculty of Computer and Information Sciences, Hosei University, Japan.
Abstract: The amount of digital information and the number of digital services are increasing explosively, and being beyond the human ability to use such massive information and services by direct operations on computers/devices. As a user, one may not know exactly what is the most needed, among which is the most suitable, and where is the best place to go in the digitally explosive world. In recent years, autonomic computing, context-aware computing, human-centric computing and so on have been proposed to make computers/devices capable of taking automatic responses according to users’ states, preferences, ambient information, etc. Individual-aware computing is a computing paradigm based on the digital clone, called Cyber-Individual or Cyber-I, which is a correspondent of a real individual (Real-I). Cyber-I is far beyond merely a user model or a software agent to assist a user. It is aimed at providing the most comprehensive digital entities for its corresponding Real-I in terms of individual’s experience, behavior and thinking as well as its birth, growth, and death. Cyber-I enables a Real-I to have a new form of existence in the cyber world and exhibit symbiosis with the Real-I. A Real-I’s abilities may be continuously extended with increasing services or applications based on the Cyber-I. Individual-aware computing and Cyber-I are to aggregate multidisciplinary and interdisciplinary studies as well as a variety of technologies for realizing the harmony of humans, computers, and things.
Short BIO: Jianhua Ma is a Professor at the Faculty of Computer and Information Sciences of Hosei University since 2000. Previously, he had 15 years’ teaching/research experience at NUDT, Xidian University and the University of Aizu (Japan). In recent years, he has been devoted to what he called Smart World and Hyper World pervaded with smart physical u-things, characterized with Ubiquitous Intelligence (u-Intelligence, UI) for u-Services with UbiSafe guarantee. Dr. Ma has published over 200 papers in journals and proceedings, and edited over 10 books. He has served JUCI, JMM, JoATC, JPCC and IJUNESST as a Co-Editor-in-Chief. He is on the editorial boards of IJCPOL, IJDET, IJWMC, IJSH, IJSIA, IJDTA, IJCIT and IJAS, and has edited over 15 journal special issues as a Guest Editor. He organized the 6th Int’l Conf. on Distributed Multimedia Systems (DMS’99) as a PC Co-Chair, the 1st Int’l Conf. on Cyber Worlds (CW’02) as one of founders and PC Co-Chairs, the 18th IEEE Int’l Conf. on Advanced Information Networks and Applications (AINA’04) as a General Co-Chair, and the 1st IEEE Int’l Conf. on Social Computing (SocialCom’09) as an Advisory Chair. He is a founder of Int’l Conf. on Ubiquitous Intelligence and Computing (UIC), Int’l Conf. on Autonomic and Trusted Computing (ATC), IEEE Conf. on Cyber, Physical and Social Computing (CPSCom), and IEEE Conf. on Internet of Things (iThings). He is a Chair of IEEE CIS Task Force on Autonomic and Trusted Computing, and a co-founder of IEEE Task Force on Ubiquitous Intelligence and Computing.