Dr. Rong N. CHANG
Member of Academy Technology
IBM T.J. Watson Research Center
KEYNOTE Title: Serviceology+ and Services Computing R&D
Our society is going through a historical metamorphosis process into a world of pervasive digital services. Serviceology is an emerging transdisciplinary field that is key to accelerating this value-driven process in all regions of the world. Services computing professionals are assuming pivotal roles in supporting organizational service-first modernization goals and objectives via innovative computing technologies. This presentation provides a personal perspective on the history, opportunities, and challenges in services computing R&D based upon the CFPs of 2021 IEEE World Congress on Services (SERVICES).
Dr. Rong N. Chang is with IBM Research, T.J. Watson Research Center. He is member of IBM Academy of Technology and chair of IBM Research Services PIC (Professional Interest Community). He is leading an in-market R&D effort in creating an API-enabled enterprise microservices fabric for intelligent computing infrastructures. He received his Ph.D. degree in computer science & engineering from the University of Michigan at Ann Arbor in 1990, and his B.S. degree in computer engineering with honors from the National Chiao Tung University at Hsinchu in 1982. He has won one IEEE Best Paper Award, received six IBM corporate-level Outstanding Technical Achievement Awards, held 30+ patents, and published 50+ refereed technical papers in the areas of distributed services computing. He is chair of IEEE Technical Committee on Services Computing (TCSVC), associate editor-in-chief of the IEEE Transactions on Services Computing (TSC), and distinguished member of ACM. He is steering committee member of IEEE World Congress on Services (SERVICES) and advisory committee member of CCF Technical Committee on Service Computing (TCSC). He is congress general co-chair of 2021 IEEE SERVICES. He has an ITIL Foundation certificate in IT Services Management and one Micro MBA certificate.
Deputy director of the Department of Computer Science and Technology,
KEYNOTE Title: Intelligent network architecture and its key technologies
The architecture of network led to its great success in the history, while it now faces some problems. The “simple core with complex edges” impose restrictions on network technologies. As the architecture gradually mismatch the diversified requirements, we need to make a change. For example, cloud computing tries to mitigate the contradiction between computing resources and its demands; edge computing attempt to improve real time performance while segment routing tries to provide coarse-grained diversified service. Following the previous work, we tend to introduce AI to make the network more intelligent. As the state of whole network changes over time, we can only obtain solutions approximate the best one, but the intelligent technologies are skilled in approximating optimal solution. In this talk, we focus on the possibly core technologies, propose a new framework of intelligent network architecture, and identify some challenges we need to address in the next researches.
Xu Ke is a professor, doctoral supervisor and deputy director of the Department of Computer Science and Technology of Tsinghua University, and a winner of National Science Fund for Distinguished Young Scholars. His main research fields include computer network architecture, network security and blockchain system. He has won the second prize of the national science and technology progress award, the second prize of the National Technology Invention Award, the Zhongchuang software talent award and the Young Scientist Award of CCF. His representative papers has been published in ACM SIGCOMM, IEEE / ACM ToN and IEEE communication Magazine and other well-known international conferences and journals. He has won more than 40 Chinese invention patents and more than 10 American invention patents in the past five years. He has written many books, such as algorithm dominates the world, computer network architecture design: modeling, analysis and optimization, etc.
Prof. Rajkumar Buyya
Director, Cloud Computing and Distributed Systems (CLOUDS) Lab,
The University of Melbourne, Australia
CEO, Manjrasoft Pvt Ltd, Melbourne, Australia
KEYNOTE Title: Neoteric Frontiers in Cloud and Edge Computing
Computing is being transformed to a model consisting of services that are 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 or how they are delivered. Cloud computing paradigm has turned this vision of "computing utilities" into a reality. It offers infrastructure, platform, and software as services, which are made available to consumers as subscription-oriented services. Cloud application platforms need to offer (1) APIs and tools for rapid creation of elastic applications and (2) a runtime system for deployment of applications on geographically distributed computing infrastructure in a seamless manner.
The Internet of Things (IoT) paradigm enables seamless integration of cyber-and-physical worlds and opening up opportunities for creating new class of applications for domains such as smart cities and smart healthcare. The emerging Fog/Edge computing paradigm is extends Cloud computing model to edge resources for latency sensitive IoT applications with a seamless integration of network-wide resources all the way from edge to the Cloud.
This keynote presentation will cover (a) 21st century vision of computing and identifies various IT paradigms promising to deliver the vision of computing utilities; (b) innovative architecture for creating elastic Clouds integrating edge resources and managed Clouds, (c) Aneka 5G, a Cloud Application Platform, for rapid development of Cloud/Big Data applications and their deployment on private/public Clouds with resource provisioning driven by SLAs, (d) a novel FogBus software framework with Blockchain-based data-integrity management for facilitating end-to-end IoT-Fog/Edge-Cloud integration for execution of sensitive IoT applications, (e) experimental results on deploying Cloud and Big Data/ IoT applications in engineering, and health care (e.g., COVID-19), deep learning/Artificial intelligence (AI), satellite image processing, natural language processing (mining COVID-19 research literature for new insights) and smart cities on elastic Clouds; and (f) directions for delivering our 21st century vision along with pathways for future research in Cloud and Edge/Fog computing.
Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor 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 over
850 publications and seven text books including "Mastering Cloud Computing" published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets respectively. Dr. Buyya is one of the highly cited authors in computer science and software engineering worldwide (h-index=145, g-index=319, and 111,300+ citations). "A Scientometric Analysis of Cloud Computing Literature" by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most-Productive (#1) Author in Cloud Computing. Dr. Buyya is recognised as Web of Science “Highly Cited Researcher” for five consecutive years since 2016, IEEE Fellow, Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award by Elsevier, and the “Best of the World”, in Computing Systems field, by The Australian 2019 Research Review. Software technologies for Grid, Cloud, and Fog computing developed under Dr.Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 50 countries around the world. Manjrasoft's Aneka Cloud technology developed under his leadership has received "Frost New Product Innovation Award". He served as founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Editor-in-Chief of Software: Practice and Experience, a long standing journal in the field established 50+ years ago. For further information on Dr.Buyya, please visit his cyberhome: www.buyya.com
Professor of Computer Science, Peking University
KEYNOTE Title: Smart Space Service Modeling and Deploying: An Environment Modeling based Perspective
Smart spaces such as smart homes deliver digital services to optimize space use and enhance user experience. They are comprised of an Internet of Things (IoT), people, and physical content. They differ from traditional software services in that their cyber-physical nature ties intimately with the users and the built environment. On the one hand, it should be able to respond to on-demand service requests from the end users. On the other hand, ensuring smart space safety is critically important to successfully deliver intimate and convenient services surrounding our daily lives. An environment-modeling based perspective will be presented in this talk. Some explorations along this line will be also discussed. That gives a potential way for smart space service modeling and deploying.
Zhi Jin is a professor of Computer Science at Peking University and the deputy director of Key Lab of High Confidence Software Technologies (PKU), Ministry of Education. Her research work is primarily concerned with requirements engineering and knowledge-based software engineering. Recently, she paid more attention on the modeling of self-adaptive systems. She is principal investigators of over 15 national competitive grants. She is co-author of four books and author/co-author over 150 journal and conference publications. She was awarded ACM SigSoft Distinguished Paper Award for three times. She serves for IEEE SERVICES 2020 as PC Chair-in-Chief, IEEE RE2016 and KSEM2010 as General Chair, as well as IEEE COMPSAC2011 and KSEM2009 as Program Chair. She is executive editor-in-chief of Chinese Journal of Software (2013- ), Associate Editor of IEEE TSE (2018- ) and IEEE TR (2019- ). She is IEEE Senior Member and CCF Fellow.