A Ubiquity symposium is an organized debate around a proposition or point of view. It is a means to explore a complex issue from multiple perspectives. An early example of a symposium on teaching computer science appeared in Communications of the ACM (December 1989).
To organize a symposium, please read our guidelines.
New in Ubiquity Symposia:
- The Third Wave (Opening Statement) by Kemal Delic
- Discovery in the Internet of Things by Arkady Zaslavsky and Prem Prakash Jayaraman
- W3C Plans for Developing Standards for Open Markets of Services for the IoT by Dave Raggett (October 2015)
- Standards for Tomorrow by Dejan Milojicic, Paul Nikolich, and Barry Leiba (November 2015)
- A Case for Interoperable IoT Sensor Data and Meta-data Formats by Milan Milenkovic (November 2015)
- Programmable IoT: On The role of APIs in IoT by Maja Vukovic (November 2015)
- Fog Computing Distributing Data and Intelligence for Resiliency and Scale Necessary for IoT by Charles Byers and Patrick Wetterwald (November 2015)
- Evolution and Disruption in Network Processing for The Internet of Things by Lorenzo di Gregorio (December 2015)
- The Importance of Cross-Layer Considerations in a Standardized WSN Protocol Stack Aiming for IoT by Bogdan Pavkovic, Marko Batic, and Nikola Tomasevic (December 2015)
- Using Redundancy to Detect Security Anomalies Toward IoT Security Attack Detectors by Mladen A. Vouk and Roopak Venkatakrishnan (January 2016)
- Ensuring Trust and Security in the Industrial IoT by Bernardo A. Huberman (January 2016)
- On Resilience of IoT Systems by Kemal Delic (February 2016)
- IoT in Energy Efficiency by Francois Jammes(February 2016)
- IoT: Promises, Perils, Perspectives (Closing Statement) by Kemal Delic (February 2016)
Previous Ubiquity Symposia:
Big data: technology and business challenges of big data in the digital economy
by Dave Penkler
The early digital economy during the dot-com days of internet commerce successfully faced its first big data challenges of click-stream analysis with map-reduce technology. Since then the digital economy has been becoming much more pervasive. As the digital economy evolves, looking to benefit from its burgeoning big data assets, an important technical-business challenge is emerging: How to acquire, store, access, and exploit the data at a cost that is lower than the incremental revenue or GDP that its exploitation generates. Especially now that efficiency increases, which lasted for 50 years thanks to improvements in semiconductor manufacturing, is slowing and coming to an end.