Panels

[Panel 1][Panel 2]


Plenary Panel 1: Collaborative Computing in the Cloud: Killer Applications and Grand Challenges

Sunday, October 10, 2010, 16:00 – 17:30

Moderator: Ling Liu, Professor, College of Computing, Georgia Institute of Technology, USA

Panelists:
  • Karl Aberer, EPFL, Switzerland
  • James Caverlee, Texas A & M University, USA
  • Calton Pu, Georgia Institute of Technology, USA

Panel Statement

Cloud computing promises a utility-driven service delivery platform for many collaborative applications in various industries, including Automobile, Healthcare, Biotechnology, Internet and Web, to name a few. This panel is organized to discuss and debate on the following topics:
  • What kinds of collaborative applications can best leverage Cloud Computing platform?
  • Which industries have the potential to offer the best killer applications?
  • What are the research and development challenges and opportunities for developing collaborative computing systems and applications in the cloud computing platform?
The panel will explore and debate on research issues and challenges of collaborative computing in the Cloud through new and emerging collaborative computing applications. The panelists will present their statements in response to these questions and articulate their viewpoint in terms of some particular industry or applications that they believe to hold the high promise as one of the best killer applications for collaborative computing in the Cloud.

About the Moderator

Ling Liu Dr. Ling Liu is a Professor in the College of Computing at Georgia Institute of Technology. There she directs the research programs in Distributed Data Intensive Systems Lab (DiSL), examining performance, security, privacy, and data management issues in building large scale distributed computing systems. Dr. Liu has been working on various aspects of distributed data intensive systems, ranging from Cloud virtualization, Cloud data analytics, mobile and wireless computing, networked computing systems, to storage systems and virtualization. Her research is partially funded by grants from NSF, IBM, and Intel.

About the Panelists

Karl Aberer Dr. Karl Aberer is a Professor for Distributed Information Systems at EPFL Lausanne, Switzerland, and director of the Swiss National Centre for Mobile Information and Communication Systems (NCCR-MICS). His research interests are on decentralization and self-organization in information systems with applications in peer-to-peer search, overlay networks, trust management and mobile and sensor networks. Before joining EPFL in 2000, he was leading the research division of open adaptive information systems at the Integrated Publication and Information Systems Institute (IPSI) of GMD in Germany, which he joined in 1992. There, his work concentrated on XML data management and cross-organizational workflows. He studied mathematics at ETH Zürich where he also completed his Ph.D. in theoretical computer science in 1991. From 1991 to 1992, he was postdoctoral fellow at the International Computer Science Institute (ICSI) at the University of California, Berkeley. He is member of the editorial boards of several journals, including ACM Transaction on Autonomous and Adaptive Systems and World Wide Web Journal and a member of the ICDE steering committee. Recently, he served as PC co-chair of ICDE 2005, MDM 2006, ISWC 2007 and P2P 2009. He is also consulting for the Swiss government in research and science policy as a member of the Swiss Research and Technology Council (SWTR).
James Caverlee Dr. James Caverlee is currently a tenure-track faculty member in the department of Computer Science and Engineering at Texas A&M University. At Texas A&M, Dr. Caverlee directs the infolab, a research lab founded in 2007 to study problems at the intersection of web-scale information management, distributed data-intensive systems, and social computing. Dr. Caverlee received his Ph.D. from Georgia Tech in 2007; M.S. degrees in Computer Science (2001) and in Engineering-Economic Systems & Operations Research (2000) from Stanford University; and a B.A. in Economics from Duke University (1996, magna cum laude). Dr. Caverlee is a recipient of the 2010 Defense Advanced Research Projects Agency Young Faculty Award (DARPA YFA) and has twice been awarded a Google Research Award (2008 and 2010).
Calton Pu Dr. Calton Pu is a Professor and John P. Imlay, Jr. Chair in Software at the College of Computing, Georgia Institute of Technology. Calton was born in Taiwan and grew up in Brazil. He received his PhD from University of Washington in 1986 and served on the faculty of Columbia University and Oregon Graduate Institute. His contributions to systems research include program specialization and software feedback in the Synthesis, Synthetix, and Infosphere projects. His contributions to database research include extended transaction models and their implementation such as Epsilon Serializability and Reflective Transaction Framework. His recent research has focused on event processing (Continual Queries over the Internet), automated system management (Elba project) and services computing (dependable systems software). His collaborations include applications of these techniques in scientific research on macromolecular structure data, weather data, environmental data, and health care.

Plenary Panel 2: Collaborative Computing vs. Security and Privacy

Tuesday, October 12, 2010, 8:30 – 10:00

Moderator: James Joshi, University of Pittsburgh, USA

Panelists:
  • Mohamed Eltoweissy, Pacific Northwest National Laboratory, and Virginia Tech, USA
  • John Zic, CSIRO, Australia
  • Murat Kantarcioglu, University of Texas at Dallas, USA

Panel Statement

Recent developments in ITC have generated a tremendous potential for global-level collaborations and coordination among humans, organizations and nations to achieve various social and economic goals. The growing integration of physical and cyber domains is pushing such collaboration to an unprecedented level. Collaborative computing paradigms aim to further make such collaboration and coordination more efficient and seamless. Emerging distributed computing environments such as, Web 2.0, Social Networks, Cyber-physical systems, Cloud Computing, Human-centric/Social computing etc., represent some recent developments in collaborative computing. At the same time, our growing dependence on such collaborative computing environments and the newly-emerging challenges in protecting huge amounts of information that such infrastructures have to store, process and share have generated huge concerns related to their deployment. Compromise of security and privacy aspects of such systems now also have a potential to inflict unimaginable level of socioeconomic damage to humans, organizations and societies as such environments can typically be deemed as secure as the weakest component. Hence, the goal of facilitating collaborations and achieving security and privacy can appear as being at odds with each other. This panel will focus on discussing security/privacy issues against the goals of collaborative computing to streamline efficient collaboration across the hardware, software, and user/organization levels. In particular, the panel will focus on answering the following key questions:
  • Is Collaborative computing fundamentally in conflict with Security and privacy goals? The panelists will present their views regarding how collaboration makes it difficult to achieve security/privacy and how enforcing security/privacy severely reduces the ability to collaborate.
  • What holistic approaches/paradigms exist or are needed towards ensuring that we significantly enhance the balance between the need for collaboration and the need for security/privacy?
The panelists will discuss their views regarding what approaches and paradigms are crucial to address the growing challenges in collaboration and security/privacy more effectively and what paradigm shift is needed, if any. In particular, the panel will motivate the need for both evolutionary progress as well as revolutionary developments that may be needed to address the collaboration vs security issues.

About the Moderator

James Joshi Dr. James Joshi is an associate professor in the School of Information Sciences at the University of Pittsburgh. He is a founder and the director of the Laboratory of Education and Research on Security Assured Information Systems (LERSAIS). He received his MS in Computer Science and PhD in Computer Engineering degrees from Purdue University in 1998 and 2003. His research interests include Access Control Models, Security and Privacy of Distributed Multimedia Systems, Trust Management and Information Survivability. He is a recipient of the NSF-CAREER award in 2006.

About the Panelists

Mohamed Eltoweissy Dr. Mohamed Eltoweissy is a Chief Scientist of Secure Cyber Systems at the Pacific Northwest National Laboratory and adjunct Professor of ECE and CS at Virginia Tech. Before joining PNNL, Eltoweissy was with The Bradley Department of Electrical and Computer Engineering at Virginia Tech where he also held a courtesy appointment in the Department of Computer Science. His current research interests crosscuts the areas of security and trust, network architecture and protocols, and distributed cooperative systems and clouds for large-scale ubiquitous cyber-physical systems. Eltoweissy's recent contributions include elastic context-aware shared sensor-actuator networks, concern-oriented reference model and bio-inspired architecture for trustworthy future networks, dynamic key management for sensor and ad-hoc networks, and reputation management in ad hoc networks and service environments. Eltoweissy serves on the editorial board of IEEE Transactions on Computers, and he has and continues to participate in the leadership and organization of numerous conferences and workshops such as the NSF-sponsored Workshop on Cooperative Autonomous Resilient Defenses in Cyberspace (CyberCARD'2011). Eltoweissy is a senior member of IEEE and a senior member of ACM. In 2003, Eltoweissy received the nomination for the Virginia SCHEV Outstanding Faculty Awards, the highest honor for faculty in Virginia. Eltoweissy received his Ph.D. in Computer Science from Old Dominion University in 1993 and his M.S. and B.S in Computer Engineering from Alexandria University, Egypt in 1989 and 1986, respectively.
John Zic Dr. John Zic is a Research Team and Science Leader for Trusted Systems in the CSIRO ICT Centre. He holds a Visiting Associate Professor position in the Schools of Computer Science and Engineering at UNSW. Prior to this position, he was Acting Research Director for the laboratory for two years. He has also held research positions at Motorola's Australian Research Centre from 1999 to 2003, has taught networking, advanced networking, and concurrent computing at undergraduate and postgraduate levels from 1982 to 1999 as lecturer in charge and tutor. He has been involved in networking research, from ALOHA experiment days, through to the development of the first diffuse infrared wireless LAN and onto IPv6 and home networking research. His research interest is in security and privacy and the application of design and modeling techniques to protocol verification, validation and analysis.
Murat Kantarcioglu Dr. Murat Kantarcioglu is an Assistant Professor in the Computer Science Department and Director of the UTD Data Security and Privacy Lab at the University of Texas at Dallas. His research focuses on creating technologies that can efficiently extract useful information from any data without sacrificing privacy or security. Recently his work entails security and privacy issues raised by data mining, privacy issues in social networks, security issues in databases, privacy issues in health care, risk and incentive issues in assured information sharing, use of data mining for fraud detection and homeland security. His social network privacy work has been covered by the Boston Globe, ABC News and other media outlets. His research has been supported by grants from NSF, Air Force Office of Scientific Research, ONR, NSA, and NIH. He holds a B.S. in Computer Engineering from Middle East Technical University, and M.S. and Ph.D. degrees in Computer Science from Purdue University. He is also a recipient of NSF Career award.