Keynote 1: A Data-as-a-Service Framework for Cyber-Physical-Social Big Data
Keynote 2: Experiencing Spark—An In-Memory Parallel Computing Model and Platform
Keynote 3: Cloud 2.0: Software Defined Environment
Keynote 4: Using Open Cloud Technology to Build Cloud for China Business

Keynote 1: A Data-as-a-Service Framework for Cyber-Physical-Social Big Data

Laurence T. Yang
Huazhong University of Science and Technology, China
St Francis Xavier University, Canada

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 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 will be shown to demonstrate the feasibility and flexibility of the proposed framework.

About the Speaker:

Dr. Laurence T. Yang 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, Cyber-Physical-Social Systems and Big Data.

He has published numerous papers in various refereed journals, conference proceedings and book chapters in the above areas including around 150 international journal papers such as IEEE and ACM Transactions. He has been involved actively in conferences and workshops as a program/general/steering conference chair and numerous conference and workshops as a program committee member. He served as the vice-chair of IEEE Technical Committee of Supercomputing Applications(2001-2004), the chair of IEEE Technical Committee of Scalable Computing(2008-2011), and the chair of IEEE Task force on Ubiquitous Computing and Intelligence (2009-now). He was in the steering committee of IEEE/ACM Supercomputing (SC-XY) conference series (2008-2011), and currently is in the National Resource Allocation Committee (NRAC) of Compute Canada (2009-2013).

In addition, he is the editors-in-chief of several international journals. He is serving as an editor for many international journals. He has been acting as an author/co-author or an editor/co-editor of more than 25 books from well-known publishers. The book “Mobile Intelligence”from Wiley 2010 received an Honorable Mention by the American Publishers Awards for Professional and Scholarly Excellence (The PROSE Awards). He has won several Best Paper Awards (including IEEE Best and Outstanding Conference Awards such as the IEEE 20th International Conference on Advanced Information Networking and Applications (IEEE AINA-06), etc); one Best Paper Nomination; Distinguished Achievement Award, 2005, 2011; Canada Foundation for Innovation Award, 2003. He has been invited to give around 25 keynote talks at various international conferences and symposia.



Keynote 2: Experiencing Spark—An In-Memory Parallel Computing Model and Platform

Yihua Huang
Nanjing University, China

Abstract:

The big data processing from the real world needs diversified computing models. Hadoop MapReduce is a well-known parallel computing model and framework for big data processing. Howerver, its original design aims to high-throughput batch processing and thus hard to meet the needs of different types of big data processing problems. First of all, this talk will discuss the nature of big data and the characteristics of big data processing and then look at what types of novel parallel computing models we need to tackle diversified big data processing tasks from the real applications. Then we will give a brief introduction to the in-memory computing model and platform for Spark. To experience how much performance speedup can be achieved on Spark comparison to Hadoop MapReduce, we present an experiment to compare two different implementations for frequent item mining algorithm upon Hadoop MapReduce and Spark platform.

About the Speaker:

Yihua Huang is currently a professor in computer science department of Nanjing University in China, the committee member and deputy secretary general of the Big Data Task Force of China Computer Ferderation (CCF), and chair of the Big Data Task Force of the Computer Society of Jiangsu Province. He received his bachelor, master and Ph.D. degree in Computer Science from Nanjing University, China in 1983, 1986, and 1997, respectively. His current research interests include big data parallel processing and cloud computing, text mining and semantic analysis, RDF database, and web data mining.









Keynote 3: Cloud 2.0: Software Defined Environment

Ling Shao
IBM Research, China

Abstract:

In this talk, speaker will talk about IBM's vision on Software Defined Environment, new challenges and important technology trends of future data center. In the future, with Software Defined Environment, the data center should be able to "understand" the requirement of applications and workloads, adjusting itself and optimizing the underlying resources to make the applications more reliable, faster and scalable. In this talk, speaker will also use a few industry examples to illustrate how software defined environment technology solve those specific industry problems.

About the Speaker:

Ling Shao, Distinguished Engineer and Chief architect of wireless and Internet-of-Thing in IBM, Associate Director of IBM Research - China. His major research focus is next generation Cloud Platform , software defined data center, applying multi-core technology to networking system, and next generation wireless system. His recent works include develop software-defined-radio system on IT server and IT cloud; develop optimized wireless system for machine-to-machine type communication for mission critical industry like energy & utility, and oil & gas.

He is now a member of IBM academy of technology. He has more than 20 filed patents. He got his bachelor and master degree from Fudan University, China in 1997 and 2000 and joined IBM in 2000.






Keynote 4: Using Open Cloud Technology to Build Cloud for China Business

Hai Ming Yang
China System and Technology Lab (CSTL), IBM

Abstract:

Cloud is open for everybody, every company and every business. Especially in China, cloud is approaching everybody and impact their daily life. How to build a cloud is no longer a mysterious for the IT planners. People is talking about get rid of IOE in their IT or their cloud. This keynote speech will attempt to explain what is happening in China Cloud area, and explain the risk and benefit of adopting open technology, answer these and other interesting questions about cloud.

About the Speaker:

Dr. Hai Ming Yang is the chief OpenStack architect of IBM China System and Technology Lab (CSTL), and the chief architect of IBM Smart Cloud Entry product. He also serves as the Technical Board member of IBM cloud technical team and Board member of IBM common cloud stack architect team.

Dr. Hai Ming Yang is responsible for development of IBM OpenStack and the foundation of IBM Smart Cloud. As the chief architect in CSTL cloud team, he guided the development team and drive the IBM cloud devops, and product and service teams collaboration. He also worked with different IBM customers to drive both the business and IT transition to adopt cloud. He plays a critical roles for IBM China and China OpenStack adoption in both user community and business.

Prior to his work in IBM, Dr. Yang had served as the technical director of Alicloud to lead Hichina data center transition to cloud. He has been focused on hardware customization, cloud performance acceleration, load balance, auto scale and hybrid cloud. He was also working closely with Chinese government on cloud standard.

Prior to go back China in 2012, Dr. Yang was working at Cisco Systems Inc for 5 years. His major area is cloud infrastructure, and how to leverage hardware capability to promote cloud efficiency. He was also one of the first few Chinese to engage with OpenStack community and brought the OpenStack back to China. Right now, China is the most active area for OpenStack world.

Dr. Yang received his Ph.D. in Electrical Engineering department from Rensselaer Polytechnic Institute in 2008, and his master and bachelor both from Electronics Engineering department of Tshinghua University in 2004 and 2001.