Globally Interoperable IoT Identification and Data Processing (RDA Session II: Industrial Challenges for Linking Clouds)
Globally Interoperable IoT Identification and Data Processing
6. June 2017, 9.00-17.00
International Conference Centre of Geneva www.iot-week.eu
Whether in industry or science, data intensive projects are not at all efficient and cost too many resources excluding many smart people from participation in exploiting the treasure in data. With the current methods of managing and accessing data we are not fit to handle the continuous data streams with high granularity produced by the billions of smart devices being deployed in the coming years. We feel that it is time to change practices radically, but what are promising approaches to overcome the fragmentation?
Listen to distinguished experts from industry and science and discuss with them about their ideas. We are very much honoured to have one of the inventers of the Internet, Turing Award winner and designer of the Digital Object Architecture, Dr. Robert Kahn, in the group of experts to sharpen our understanding for the challenges and to identify possible solutions. The participation of experts from the worldwide active Research Data Alliance and International Telecom Union will also help to indicate directions.
9.00 Peter Wittenburg (RDA) Welcome and RDA Concepts for efficient data practices
9.30 Robert Kahn (CNRI) From IP addresses to Persistent Identifiers – principles of Interlinking
10.30 Coffee Break
Session 1 – Towards Interoperable Solutions
11.00 Tobias Weigel (WDCC) Infrastructure for the Global Climate Reporting
11.30 Ye Tian (CNIC-CAS) Application of Digital Object Architecture in China
12.00 Peggy Irelan (Intel) IoT Standards drive Frictionless Analytics
12.30 André Zwanziger (T-Systems) MISP - Multi-IoT-Service-Plattform
13.00 Lunch Break
Session 2 – Towards Interoperable Solutions
14.00 Alex Ntoko (ITU) State of discussions in ITU
14.30 Jürgen Heiles (Siemens) The role of Identifiers in IoT
15.00 Juanjo Hierro (FIWARE) Supporting Researchers’ Data Interoperability: FIWARE for the development of the IoT Cloud for RDA Europe
15.30 Coffee Break
16.00 Leif Laaksonen (moderator): Robert Kahn, Tobias Weigel, Ye Tian, Peggy Irelan, André Zwanziger, Alex Ntoko, Jürgen Heiles, Juanjo Hierro, Peter Wittenburg Expert Panel on Globally Interoperable IoT Identification and Data Processing – which ways to go?
Panel Objective: the aim of the panel discussion is to explore how industry and science can effectively collaborate on Globally Interoperable IoT Identification and Data Processing and what role RDA can play in facilitating this. At the end of the panel we would like to have a set of concrete actions that can be taken forward in the short-term future.
As a premise to the panel discussion, the following facts about data management and access are important to remember:
· about 60% of the efforts in data intensive projects in science and industry is wasted on data integration
· about 80% of scientists' time is wasted with simple data management tasks
· about 80% of the data generated is no longer available after a short period of time
· in science and industry we have a large number of infrastructure initiatives and cloud solutions serving urgent needs, but also creating an enormous fragmentation making data integration from different sources an extremely expensive task
According to Intel and Oracle estimates, we will have 50 billion devices all creating continuous streams of highly granular data - orders of magnitude higher in terms of data volumes and complexity than what we currently have. We can simply state that we are not ready to efficiently deal with such data monsters and that we urgently need to change data practices and find global solutions.
This can lead us to a series of questions for the panel:
· For many of us it is evident that we need a change, but which kind of integration solutions do we currently see emerging and what is their potential?
· Expensive data integration from different sources forms a business model today. Is this model sustainable? How much will it dampen IoT business over time?
· What would be the gains compared to the losses for industry to adopt global interoperability standards?
· How far can we go with global agreement forming? Do we need to stick with an hourglass model as in the case of Internet (see the diagram in the attachment)? Is the hourglass still the best model?
· What is the role of the academia in globally interoperable IoT identification and data processing?