2015 - October
W3C Plans for Developing Standards for Open Markets of Services for the IoT: The Internet of Things (Ubiquity symposium)
by Dave Raggett
October 2015The Internet of Things (IoT) is being held back by divergent approaches that result in data silos, high costs, investment risks and reduced market opportunities. To realize the potential and unleash the network effect, W3C is focusing on the role of Web technologies for a platform of platforms as a basis for services spanning IoT platforms from microcontrollers to cloud-based server farms. Shared semantics are essential for discovery, interoperability, scaling and layering on top of existing protocols and platforms. For this purpose, metadata can be classified into: things, security, and communications, where things are considered to be virtual representations (software objects) for physical or abstract entities. Thing descriptions are modeled in terms of W3C's resource description framework (RDF). This includes the semantics for what kind of thing it is, and the data models for its events, properties and actions. The underlying protocols are free to use whichever communication patterns are appropriate to the context according to the constraints described by the given metadata. W3C is exploring the use of lightweight representations of metadata that are easy to author and process, even on resource constrained devices. The aim is to evolve the web from a web of pages to a "Web of Things."
Discovery in the Internet of Things: The Internet of Things (Ubiquity symposium)
by Arkady Zaslavsky, Prem Prakash Jayaraman
October 2015How to find a "thing" in the Internet of Things (IoT) haystack? The answer to this question will be the key challenge that IoT users and developers are facing now and will face in the future. Current models for IoT are focused heavily on developing vertical solutions limited by hardware and software platforms and support. With the estimated explosion of IoT in the coming years as predicted by Cisco, IBM and Gartner, there is a need to rethink how IoT can deliver value to the end-user. A paradigm shift is required in the underlying fundamentals of current IoT developments to enable a wider notion of "thing" discovery as well as discovery of relevant data and context on the IoT. Discovery will allow users to build IoT apps, services and applications using "smart things" without the need for a priori knowledge of things. In this article, we look at the current state of IoT and argue for paradigm shift addressing why and how discovery can make a significant impact for the future of IoT and moreover, become a necessary component for IoT success story.
The Third Wave: The internet of things: The Internet of Things (Ubiquity symposium)
by Kemal A. Delic
October 2015We are witnessing these days the rise of always-on, connected devices, systems and environments. This might well represent the basis for the emerging digital economy. This symposium brings in diverse points of views trying to synthesize the most likely future of Internet of Things (IoT).
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).
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Ubiquity Symposium: Big Data
- Big Data, Digitization, and Social Change (Opening Statement) by Jeffrey Johnson, Peter Denning, David Sousa-Rodrigues, Kemal A. Delic
- Big Data and the Attention Economy by Bernardo A. Huberman
- Big Data for Social Science Research by Mark Birkin
- Technology and Business Challenges of Big Data in the Digital Economy by Dave Penkler
- High Performance Synthetic Information Environments: An integrating architecture in the age of pervasive data and computing By Christopher L. Barrett, Jeffery Johnson, and Madhav Marathe
- Developing an Open Source "Big Data" Cognitive Computing Platform by Michael Kowolenko and Mladen Vouk
- When Good Machine Learning Leads to Bad Cyber Security by Tegjyot Singh Sethi and Mehmed Kantardzic
- Corporate Security is a Big Data Problem by Louisa Saunier and Kemal Delic
- Big Data: Business, technology, education, and science by Jeffrey Johnson, Luca Tesei, Marco Piangerelli, Emanuela Merelli, Riccardo Paci, Nenad Stojanovic, Paulo Leitão, José Barbosa, and Marco Amador
- Big Data or Big Brother? That is the question now (Closing Statement) by Jeffrey Johnson, Peter Denning, David Sousa-Rodrigues, Kemal A. Delic