Serious Fun

real Time
July 11–12, 2011
Paris, France

david reed PREVIEWS THE CONFERENCE
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LIBRARY SELECTION
In-Memory Data Management: An Inflection Point for Enterprise Applications by Hasso Plattner and Alexander Zeier

conference overview
When computing can be done quickly enough, we can change the behavior of humans, of physical systems, and of those physical systems that involve humans. By capturing the right data, delivering it quickly, and shaping effective responses, real-time systems will have a huge impact on every institution, from commerce to manufacturing to government.

Future real-time systems will very likely be designed and built using black box components by teams spanning organizational boundaries. What exactly will these systems look like? How will they be designed, how will they operate, and how will they be managed? What policy, organizational, strategic, and economic issues will need to be solved?

Real-time control of the smart grid will require decentralized control of a sort that has never been built before. Dealing with real-time crisis management requires fine-grained measuring of the state of systems and their responses to inputs. Piloting systems will contain standard models of normal behavior, but they will be able to react in real time to actual (abnormal) system behavior.

Mobile devices—moving from place to place and making context-specific adjustments to and associations with their environment—push data out to people in real time and become a source of real-time data from and about people and places. Which data will be collected, and how will it be disseminated, routed, classified, and identified in the network? A tempo that matches human absorption of data (neither too slow nor too fast) will need to be developed to make applications and services more effective. In the future, the only time that matters will be real time.

Real-time systems typically conform to an externally defined rate, since they are “in the loop” of some larger system or set of systems. The big issues with real-time systems relate to their role in these loops. At this session, we’ll explore how we can understand their instabilities and build in resilience when simple control theory doesn’t apply.

To work effectively, these new cyberphysical systems must be able to control and react to large-scale physical systems. What will be the best way to integrate digital control of analog systems and couple that with powerful modeling abilities so systems can adapt, change, and learn over time? Once we’re better at managing highly adaptive products, information, and services, we’ll be able to reap the benefits of interoperable business process integration.

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Partial list of speakers

Dr. Adam Beguelin, Chief Executive Officer, Sensr.net
Dr. Angelika Dimoka, Director, Center for Neural Decision Making, Temple University
Mr. Alexandre Eisenchteter, Research and Development Manager, af83
Ms. Marie Ekeland, Partner, Elaia Partners
Mr. Julien Genestoux, Founder and Chief Executive Officer, Superfeedr
Dr. Cathal Gurrin, Lecturer, School of Computing, Dublin City University
Mr. Emilio Martinez, Chief Executive Officer, Agnitio
Mr. Patrick Meier, Director of Crisis Mapping, Ushahidi
Dr. Ike Nassi, Executive Vice President and Chief Scientist, SAP Labs
Dr. Ian Oppermann, Director, ICT Centre, CSIRO
Dr. Thomas Plagemann, Professor of Informatics, University of Oslo
Dr. Steven Rubinow, Executive Vice President and Chief Information Officer, NYSE Euronext
Mr. Philip Sheppard, Professor, Royal Academy of Music
Dr. Charlotte Tripon-Canseliet, Associate Professor, Université Pierre et Marie Curie
Dr. Anton van den Hengel, Director, Australian Centre for Visual Technologies
Dr. Catharine van Ingen, Partner Architect, eScience Group, Microsoft Research
Dr. Masumi Yamada, Assistant Professor, Disaster Prevention Research Institute, Kyoto University

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Conference Schedule
Sunday, July 10: 7:00 PM - Welcome Reception / Dinner (Dinner at 7:30 PM)
Monday, July 11: 8:30 AM - Conference Begins
Tuesday, July 12: 4:00 PM - Conference Closes
Wednesday, July 13: 8:30 AM – 5:30 pm - Field Trip

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