79. A COMPUTATIONAL MODELING APPROACH OF USER BEHAVIOR FOR SWARM CONTROL APPLICATIONS

Department: Computer Science & Engineering
Faculty Advisor(s): Tajana S. Rosing

Primary Student
Name: Pietro Mercati
Email: pimercat@ucsd.edu
Phone: 858-231-3019
Grad Year: 2017

Student Collaborators
Baris Aksanli, baksanli@eng.ucsd.edu

Abstract
The Internet-of-Things (IoT) today is increasing the number of communicating devices and the amount of data exchanged. An emerging area of research related to this IoT development is its relationship with humans and their behavior. In this work we propose a formal and verifiable computational approach to model the effects of human behavior and habits on using different devices that can be integral parts in the new Internet-of-Things (IoT) world. The proposed computational approach creates workloads, quality of service requirements and scheduling paradigms that are borrowed from traditional computing systems and applies them to interactions between humans and IoT devices.

Industry Application Area(s)
Energy/Clean technology | Internet, Networking, Systems | Software, Analytics

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