We’re excited to share some fantastic news from the COGNIFOG project, a cutting-edge initiative that UTA is proud to support through the expertise of our CTO, Rodger Lea.
Hot off the press: a brand-new research paper has just been published, offering an in-depth look at the COGNIFOG project, its ambitious goals, and the progress made so far. The paper, titled “The Internet of Things, Fog, and Cloud Continuum: Integration Challenges and Opportunities for Smart Cities,” is co-authored by Rodger Lea, Toni Adame, Alexandre Berne, and Selma Azaiez.
Curious about what’s inside? Here’s a sneak peek from the abstract:
“This paper explores the broad area of Smart City services and how the evolving Cloud-Edge-IoT continuum can support application deployment in Smart Cities. We initially introduce a range of Smart City services and highlight their computational needs. We then discuss the role of the Cloud-Edge-IoT continuum as a technological platform to meet those needs. To validate this approach, we present the COGNIFOG platform, a Cloud-Edge-IoT platform developed to support city-centric use cases, and an initial technology trial that shows the early benefits of using the platform. We conclude with plans for improvements to COGNIFOG based on the trials and with a broader set of observations on the future of the Cloud-Edge-IoT continuum in Smart City services and applications.”
If you’re intrigued by how the cloud, edge, and IoT worlds are coming together to shape the cities of tomorrow, this paper is a must-read. It not only outlines the architecture of the cloud-edge-IoT continuum but also dives into the real-world capabilities and potential of this innovative model.
Want to see how it all fits together? The paper includes a schematic model that breaks down the architectural layers and showcases the powerful capabilities of this continuum.
Stay tuned for more updates as the COGNIFOG project continues to push the boundaries of what’s possible in smart city technology!
If you want to know more then the full paper is available here:
