09:00am - 10:00am Dec. 12: Dr. Rajkumar Buyya
10:30am - 11:30am Dec. 12: Dr. Jason Chen
08:30am - 09:30am Dec. 13: Dr. Liang-Jie Zhang
09:30am - 10:30am Dec. 13: Dr. Peter Tak Shing YUM
Title: Market-Oriented Cloud Computing and Aneka Platform
Dr. Rajkumar Buyya
Professor, The University of Melbourne, Australia
CEO, Manjrasoft Pvt Ltd, Melbourne, Australia
Abstract: Computing is being transformed to a model consisting of services that are commoditised and delivered in a manner similar to utilities such as water, electricity, gas, and telephony. In such a model, users access services based on their requirements without regard to where the services are hosted. Several computing paradigms have promised to deliver this utility computing vision. Cloud computing is the most recent emerging paradigm promising to turn the vision of "computing utilities" into a reality.
Cloud computing has emerged as one of the buzzwords in the ICT industry. Several IT vendors are promising to offer storage, computation and application hosting services, and provide coverage in several continents, offering Service-Level Agreements (SLA) backed performance and uptime promises for their services. It delivers infrastructure, platform, and software (application) as services, which are made available as subscription-based services in a pay-as-you-go model to consumers. The price that Cloud Service Providers charge can vary with time and the quality of service (QoS) expectations of consumers.
This keynote talk (1) presents the 21st century vision of computing and identifies various IT paradigms promising to deliver the vision of computing utilities; (2) defines the architecture for creating market-oriented Clouds by leveraging technologies such as VMs; (3) provides thoughts on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; (4) presents Aneka, a software system for rapid development of Cloud applications and their deployment on private/public Clouds with resource provisioning driven by SLAs and user QoS requirements, (5) reports experimental results on deploying Cloud applications in engineering, gaming, and health care domains on private or public Clouds, and (6) concludes with the need for convergence of competing IT paradigms for delivering our 21st century vision along with pathways for future research.
Biography: Dr. Rajkumar Buyya is Professor of Computer Science and Software Engineering; and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored 350 publications and four text books. He also edited several books including "Cloud Computing: Principles and Paradigms" recently published by Wiley Press, USA. He is one of the highly cited authors in computer science and software engineering worldwide (h-index=54, g-index=119, and 16500+ citations).
Software technologies for Grid and Cloud computing developed under Dr. Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 40 countries around the world. Dr. Buyya has led the establishment and development of key community activities, including serving as foundation Chair of the IEEE Technical Committee on Scalable Computing and five IEEE/ACM conferences. These contributions and international research leadership of Dr. Buyya are recognized through the award of "2009 IEEE Medal for Excellence in Scalable Computing" from the IEEE Computer Society, USA. Manjrasoft¡¯s Aneka Cloud technology developed under his leadership has received "2010 Asia Pacific Frost & Sullivan New Product Innovation Award" and "2011 Telstra Innovation Challenge - People's Choice Award". For further information on Dr. Buyya's work, please visit his cyberhome: www.buyya.com
Title: Cloud Computing and Big Data
Dr. Jason Chen
Vice President, Database Engineering Group, Teradata
Vice President, China R&D, China
Abstract: Cloud computing provides storage, data access, and computation services that do not require any end user knowledge of the physical deployment of the system that delivers those services. It promises the kind of agility that enables organizations to activate and deactivate resources as needed, dynamically upgrade infrastructure elements, and move workloads without having to worry about acquiring new infrastructures for each new application.
The adoption of cloud computing is rapidly growing because its impact on organizations is so great. As cloud computing technologies evolve, more and more organizations and users have moved more and more of their data into the cloud. Now the data sets in the cloud are growing so large that the conventional data management solutions are having difficulties dealing with data of such big volume.
The speaker will present the key technical challenges facing big data. Many of these challenges are system related, such as scalability, elasticity, manageability, fault tolerance, and security. Some challenges are data related, such as efficient access and analysis of various types of structured, unstructured, and semi-structured data. Furthermore, there are workload related challenges, such as concurrency control for real time access and batch data processing. The combination of these various challenges makes the problem even more difficult for the existing conventional data management systems. The speaker will describe new technologies created in recent years that were attempting to cope with these big data challenges. Examples of such technologies are the Hadoop Distributed File System, Hadoop MapReduce, Hbase, Hive, and PigLatin. Finally, the speaker will discuss why these new technologies have achieved only partial success. They are far from sufficient to satisfy the current and future big data requirements. Therefore, this area will remain a fertile ground for further innovation in the foreseeable future.
Biography: Jason Chen joined Teradata in 2002 as Vice President of the Database Engineering Group, responsible for Teradata¡¯s flagship database product. Under his leadership, five major database software releases (R5.0, R5.1, R6.0, R6.1, and R6.2) were successfully completed and extensively deployed in customer production environments. In 2007, he took a new challenge, as Vice President of China R&D, to build a world-class R&D operation in China for Teradata.
Prior to joining Teradata, Jason was Vice President of Engineering at Acta Technology, Inc., responsible for product development, quality assurance, technical publications and customer support. Acta, a software vendor in the ETL/BI space, provided data movement, application integration, and packaged data-mart solutions for global enterprises. Jason helped grow the company from scratch to $20M+ in annual revenue and 100+ G1000 customers in less than four years. Acta was acquired by Business Objects (Nasdaq: BOBJ) in 2002 and became its Data Integration product division.
Prior to Acta, Jason held management and technical leadership positions at Sybase and Teradata. He began his career at Bell Laboratories as a Member of Technical Staff. Jason received his Ph.D. in Computer Engineering from the University of Southern California. Jason holds several US patents and has published in various professional journals and international conferences.
Title: China Management Cloud: Innovating Enterprise Cloud Computing
Dr. Liang-Jie Zhang (LJ)
IEEE Fellow, SVP and Chief Scientist, Kingdee International Software Group Co. Ltd.
Abstract: Cloud Computing is one type of service delivery platform in the field of Services Computing. Enterprise information processing needs dynamic resource sharing, intelligent infrastructure, as well as best practices of management models. This talk will address the following questions: How to share the best practices of management models to help transform enterprises? What is the enterprise management think-tank? How to use Cloud Computing platform to manage and deliver management services? During the talk, I will also illustrate how to leverages the best practices of the China Management Models articulated from 1M enterprise customers to build the China Management Cloud. It helps customers get on-demand management services to innovate their value chains and create new business models.
Biography: Liang-Jie Zhang (LJ) is a Senior Vice President and Chief Scientist at Kingdee International Software Group Company Limited, where he is responsible for leading innovations of services transformation, products' architectures, and China's Management Models for this publicly listed company in Hong Kong. Prior to this position, he was a research staff member and program manager of application architectures and realization at IBM, where he led the worldwide R&D of the custom solution engagement cloud. He is the leading author of the Cloud Computing Open Architecture (CCOA). He was also the worldwide leader of IBM's SOA solution design platform (SOMA-ME), which has played a differentiated role in multi-billion-dollar projects. Dr. Zhang has received an Outstanding Innovation Award and two Outstanding Technical Achievement Awards from IBM, an Outstanding Achievement Award from the World Academy of Sciences, and 2011 IEEE Technical Achievement Award "for pioneering contributions to Application Design Techniques in Services Computing" from IEEE Computer Society. He has 40 granted patents.
Dr. Zhang received his Ph.D. of Pattern Recognition and Intelligent Control from Tsinghua University. He completed both IBM Services Business Leadership Today (SBLT) Program and IBM Research's MicroMBA Program in 2006. Dr. Zhang is an IEEE Fellow for contributions to service-oriented technologies and applications. Dr. Zhang currently serves as the Editor-in-Chief of IEEE Transactions on Services Computing (TSC). Currently he is a director of The Open Group and President of The Chinese Association for Science and Technology, Greater New York Chapter (CAST-GNY).
Title: From Fishing and Farming to Cloud and Service Computing
Dr. Peter Tak Shing YUM
CTO, Hong Kong Applied Science and Technology Research Institute (ASTRI)
Abstract: From a fishing village 160 years ago to a world financial center today Hong Kong has an illustrious history of social development. This development includes that of technology. We will see what was the technology focus in each stage and who were the key players. Serious thoughts about formulating a technology roadmap for Hong Kong started only 25 years ago. The only sizable research institute called ASTRI was formed 12 years ago and a few much smaller R&D centers 7 years ago. A recent trend is to develop Hong Kong into a ¡°knowledge society.¡± We will see how cloud computing and service computing playing key roles.
Biography: Professor Yum was born in Shanghai. He received primary and secondary school education in Hong Kong. He went to Columbia University and was awarded BS, MS, MPh and PhD degrees in 1974, 1975, 1977 and 1978 respectively. He joined Bell Telephone Laboratories in April 1978 working on switching and signaling systems for 2.5 years. Then, he taught at National Chiao-Tung University in Taiwan for 2 years before joining The Chinese University of Hong Kong in 1982. He was appointed chairman of IE Department two times and elected Dean of Engineering for two terms (2004-2010). Since June 1, 2010 he took no-pay leave from CUHK to serve as CTO of ASTRI www.astri.org (Hong Kong Applied Science and Technology Research Institute Company Limited).