Data Challenges for the Internet of Things
Friday, September 22, 2017 — 1:30PM - 3:00PM
The Internet of Things is anticipated to be the next major computing revolution, connecting billions of “Things” (and humans) and enabling many new applications. However, while there are some vendor-specific IoT offerings in some verticals, the realization of the more general vendor and sector agnostic Internet of Things will depend on overcoming several existing challenges. One major challenge is that of data management. It is clear that the volume of data in the era to IoT will significantly eclipse what is currently considered “Big Data”. But in addition to the issue of scale, other issues like data variety, interoperability, security and privacy, data ownership, policy and regulation management, real-time processing data management, etc., are all requirements that must all be met concurrently. This panel will discuss the data challenges in IoT, particularly how they differ from the traditional Big Data challenges and highlight open research questions and directions.
Kemafor Anyanwu Ogan, North Carolina State University