Panel Discussion 1: Open Dependability Issues in Cloud and Big Data Systems
Computer systems (e.g., digital sensors, networks, and smart devices) are now available anytime, anywhere, by different means, and are distributed unobtrusively throughout everyday environments in which physical objects/artifacts embedded with invisible computers are sensible and networked locally and globally. The rapid development of the computer systems with their extensive use is leading to the creation of huge collections of data, and coins the term Big Data. Big Data is characterized by the integration of a significant amount of data, of varying modalities or types, at a pace that cannot be handled by traditional data management systems. Since huge amounts of data in unstructured and semi-structured forms are being generated from various sources, new systems, frameworks and methodologies are being designed and developed for data management and data analytics. Although tremendous efforts are being given to these big systems, there is no doubt that they must be “dependable.”
In the last few years, cloud computing has grown from being a promising business concept to one of the fastest growing segments of the IT industry. Cloud computing enables computing systems/resources to be provided as IT services in a pay-as-you-go fashion. The services can be achieved with high efficiency and effectiveness only if the systems are ‘dependable.’ Among various circumstances, dependability can be affected by the open environment with very limited user-side control in Cloud. As a result, “dependability” is going to be one of most concerned issues for Cloud computing. It is also a great challenge for Big Data together with Cloud. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, ability to overcome data fault/corruption/anomaly, ability to avoid failures, prevention of deliberate privacy intrusions, reliability/availability/adaptability/security/safety, and so on. While information society, commercial and scientific companies, and industries share the need for massive throughput, “dependability” of service becomes a big concern.
The aim of this panel discussion is to discuss various aspects and open ideas, explore key open issues, and investigate technology enablers to motivate future research of dependability in Big Data and Cloud computing.
Guojun Wang (Central South University, Changsha, China)
Tatsuhiro Tsuchiya (Osaka University, Japan)
Md Zakirul Alam Bhuiyan (Temple University, USA)
Prof. Takashi Nanya, University of Tokyo, Japan
Prof. Jemal Abawajy, Deakin University, Australia
Prof. Weijia Jia, Shanghai Jiao Tong University, China
Prof. Yennun Huang, Academia Sinica, Taiwan
Prof. Jinjun Chen, University of Technology, Sydney, Australia
Panel 1 Speaker 1: Prof. Takashi Nanya, University of Tokyo, Japan
Title: Economics of Dependability: an open issue in the information society
Abstract: There are many known and unknown factors that pose a threat to dependability in big-data and cloud-based systems on which our daily lives depend.Everybody knows that we need dependability in this information society.Many dependability efforts have been proposed and implemented.But, a frequently asked question is how much we should pay for the dependability.In this panel talk, we submit a research proposal on the economics of dependability as an open issue for engineering a dependable information society.
Takashi Nanya is an Emeritus Professor of both the University of Tokyo and the Tokyo Institute of Technology.He is a Fellow of the IEEE and the IEICE, and a Member of the Science Council of Japan (SCJ). In the past, he served as Chair of the IEEE TC on Dependable Computing and Fault Tolerance, the Steering Committee Chair for the International Conference on Dependable Systems and Networks (DSN) and the Pacific-Rim International Conference on Dependable Computing (PRDC), and Vice-chair of IFIP WG10.4 on Dependable Computing and Fault Tolerance.He also served as Associate Editor of IEEE Transactions on Computers, Guest Editor of IEE Proceedings on Computers and Digital Techniques, and Guest Editor of IEICE Transactions on Information Systems.He served as the General Chair for ASYNC, PRDC and DSN, and as a PC Co-Chair for FTCS and ASP-DAC.He has served on numerous Technical Program Committees of IEEE and IFIP sponsored conferences. He received his B.E. and M.E. degrees in mathematical engineering and information physics from the University of Tokyo in 1969 and 1971, respectively, and his Ph.D. degree in electrical engineering from the Tokyo Institute of Technology in 1978. He was a professor of the Tokyo Institute of Technology from 1981 to 1996 and the University of Tokyo from 1996 to 2010.He served as the Director of the Research Center for Advanced Science and Technology (RCAST), and a Councilor of the University of Tokyo from 2001 to 2004.He worked for NEC from 1971 to 1981, and for CANON from 2010 to 2015. His research interests include dependable computing and system design methodology.
Panel 1 Speaker 2: Prof. Jemal Abawajy, Deakin University, Australia
Title: Knowledge-Free Resource Provisioning on Failure-Prone Hybrid Cloud Systems
Abstract: With the increased functionality and complexity of Cloud computing environments, resource failures are inevitable. This is especially so with multiple Cloud providers with various quality of service levels. The question we address in this talk is how to provision resources to workflow-based applications where resource failures in hybrid Cloud computing systems can and do arise. We also discuss our latest work that takes into account the workload models and failure correlations to schedule workflow applications to appropriate Cloud providers. Using failure traces and workload models, we evaluated the performance and monetary cost of the proposed policies.
Dr. Jemal H. Abawajy is a full professor at School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Australia. He is currently the Director of the Parallel and Distributing Computing Laboratory. He is a Senior Member of IEEE Computer Society; IEEE Technical Committee on Scalable Computing (TCSC); IEEE Technical Committee on Dependable Computing and Fault Tolerance and IEEE Communication Society. Prof. Abawajy has delivered more than 50 keynote addresses, invited seminars, and media briefings and has been actively involved in the organization of more than 300 national and international conferences in various capacity including chair, general co-chair, vice-chair, best paper award chair, publication chair, session chair and program committee. He has also served on the editorial-board of numerous international journals and currently serving as associate editor of the IEEE Transactions on Cloud Computing, International Journal of Big Data Intelligence and International Journal of Parallel, Emergent and Distributed Systems. He has also guest edited many special issues. Prof. Abawajy is actively involved in funded research supervising large number of PhD students, postdoctoral, research assistants and visiting scholar in the area of Cloud Computing, Big Data, Network and System Security, Decision Support System, and E-healthcare. He is the author/co-author of five books, more than 250 papers in conferences, book chapters and journals such as IEEE Transactions on Computers and IEEE Transactions on Fuzzy Systems. He also edited 10 conference volumes. More info at http://www.deakin.edu.au/~jemal
Panel 1 Speaker 3: Weijia Jia, Shanghai Jiao Tong University, China
Title: When Big IoT meets with the Dependability
Abstract: In this talk, I would like to share my opinion about the Big IoT (e.g. Industrial Internet of Things) and Dependability. What are the critical issues when Big IoT meets with the dependability, especially with basic attributes of Availability; Reliability, Safety, Confidentiality, Integrity and Maintainability.
Prof. Weijia Jia is currently a full-time Zhiyuan Chair Professor at Shanghai Jiaotong University. He is leading currently several large projects on next-generation Internet of Things, environmental sensing, smart cities and cybersoace sensing and associations etc. He received BSc and MSc from Center South University, China in 82 and 84 and PhD from Polytechnic Faculty of Mons, Belgium in 1993 respectively. He worked in German National Research Center for Information Science (GMD) from 93 to 95 as a research fellow. From 95 to 13, he has worked in City University of Hong Kong as a full professor. He has published over 400 papers in various IEEE Transactions and prestige international conference proceedings.
Panel 1 Speaker 4: Yennun Huang, Academia Sinica, Taiwan
Title: Challenges in Privacy Management for Big Data Systems
Abstract: In this presentation, I will describe the importance of privacy management and its technology challenges. I will then overview some privacy enhancing technology and its research opportunities.
Dr. Huang is a Distinguished Research Fellow in Academia Sinica and an IEEE Fellow (for his contributions on fault tolerance and fault prevention Techniques). Dr. Huang received BS in EE from National Taiwan University and his PhD in Computer Science from University of Maryland. He Joined AT&T Bell Labs as a researcher in 1989. Dr. Huang became a Distinguished Member of Technical Staff of Bell Labs in 1996. He started the Dependable Computing Research Department in AT&T in 1999 and was the department head of the organization to ensure the high dependability of all AT&T services. Dr. Huang became the VP of Engineering of PreCache Inc, a Sony subsidiary, in 2001 to create a multi-media content delivery service (Sony version of Apple iTune). In late 2004, Dr. Huang returned to AT&T and became the Executive Director of Dependable Distributed Computing and Communication Research Department to lead research on Digital Content Management and IPTV programs. In 2007, Dr. Huang became the Executive Vice President of Institute for Information Industry (III). From 2008 to 2011, Dr. Huang was the President of VeeTIME Co. to create quadruple-play telecom services including cable TV, FTTx, NGN voice and 4G. Dr. Huang has published numerous papers in major journals and conferences, and more than 20 US patents awarded. Dr. Huang joined Research Center for Information Technology Innovation (CITI) of Academia Sinica in 2011 as the CEO of Security Research Center in Academia Sinica.
Panel 1 Speaker 5: Prof. Jinjun Chen, University of Technology, Sydney, Australia
Title: Big Data - Big Application
Abstract: Right now, Big Data, Data Science or Data Analytics are being on wide interest in industry and academia. But, what can business gain from it? What way of researchers should do in the area to make full potential for business innovation? During this talk, we will discuss these two questions based my research industry engagement practice.
Dr Jinjun Chen is an Associate Professor from Faculty of Engineering and IT, University of Technology Sydney (UTS), Australia. He is the Director of Lab for Scalable Data Intensive Systems at UTS. He holds a PhD in Information Technology from Swinburne University of Technology, Australia. Dr Chen's research interests include big data, data science, data intensive systems, scalability, cloud computing, software engineering and services, workflow management, privacy and security, and related various research topics. His research results have been published in more than 130 papers in international journals and conferences, including IEEE Transactions on Service Computing, ACM Transactions on Autonomous and Adaptive Systems, ACM Transactions on Software Engineering and Methodology (TOSEM), IEEE Transactions on Software Engineering (TSE), IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Transactions on Cloud Computing, and IEEE Transactions on Computers (TC).
Panel Discussion 2: Training Innovative Talents with Cooperation of Industry, Academics and Research
Panel 2 Speaker 1: 王志英，国防科学技术大学教授
Panel 2 Speaker 2: 张大方，湖南大学教授
Panel 2 Speaker 3: 李克秋，大连理工大学教授
Panel 2 Speaker 4: 项阳，澳大利亚迪肯大学教授
演讲题目：Industry Engagement: Connecting Research and Innovation
报告提要：We have seen increasing emphasis on the need of connecting research and innovation world-wide. Research funding models have shifted to bridging between research and the market in IT and computer science disciplines. What are the implications for researchers? The challenge for the future is to link research to innovation more effectively in order to produce high-quality research outcomes and successfully compete for research funding. However, connection between research and innovation is weak at all levels in academia nowadays. These are abundant challenges and opportunities in this area. I would like to share some practice and experience on industry engagement at Deakin University, Australia. It is to facilitate rethinking on how to connect research and innovation in order to help maximizing future research opportunities.
项阳 Professor Yang Xiang received his PhD in Computer Science from Deakin University, Australia. He is the Director of Centre for Cyber Security Research at Deakin University and the Associate Head of School (Industry Engagement), School of Information Technology. His research interests include network and system security, distributed systems, and data analytics. He has published more than 200 research papers in international journals and conferences, such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Information Security and Forensics, and IEEE Journal on Selected Areas in Communications. He serves as the Associate Editor of IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, Security and Communication Networks (Wiley), and the Editor of Journal of Network and Computer Applications (Elsevier). He is a Senior Member of the IEEE.
Panel 2 Speaker 5: 舒磊，广东石油化工学院教授
演讲题目：Training Innovative Talents: A Case Study in ISWSNLAB Towards Factory of Things
报告提要：Nowadays, many researchers and engineers are in pursuit of emerging technologies that enable human-centric and machine-centric networks to meet requirements in industries, e.g., factory automation systems, fault diagnosis, gas consumption monitoring systems, surveillance, healthcare systems, which are commonly defined in the vision of "Factory of Things". In this circumstance, training innovative talents as researchers and engineers is very important, since excellent talents are actually the key force for realizing scientific innovation. In this short talk, we will mainly share a case study and some stories for training innovative talents in our research lab.
舒磊 Lei Shu received Ph.D. degree from National University of Ireland, Galway, Ireland, in 2010. Until March 2012, he was a Specially Assigned Researcher in Department of Multimedia Engineering, Osaka University, Japan. He is a member of IEEE, IEEE ComSoc, IEEE IES, EAI and ACM. Since October 2012, he joined Guangdong University of Petrochemical Technology, China as a full professor. Meanwhile, he is also working as the vice-director of the Guangdong Provincial Key Laboratory of Petrochemical Equipment Fault Diagnosis, China. His research interests include: Wireless Sensor Networks, Multimedia Communication, Middleware, Security, and Fault Diagnosis. He has published over 200 papers in related conferences, journals, and books. He had been awarded the Globecom 2010 and ICC 2013 Best Paper Award. He is serving as Editor in Chief for EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, and associate editors for a number of international journals. He served as more than 50 various Co-Chair for international conferences/workshops, e.g., IWCMC, ICC, ISCC, ICNC, Chinacom, especially Symposium Co-chair for IWCMC 2012, ICC 2012, General Chair for Chinacom 2014, Qshine 2015, Steering Chair for InisCom 2015; TPC members of more than 150 conferences, e.g., DCOSS, MASS, ICC, Globecom, ICCCN, WCNC, ISCC.