Computing professor designs stream processing system for IoT applications
Recent National Science Foundation CAREER recipient is building a digital architecture to rapidly process data.
Smart devices that communicate with other smart devices, known as Internet of Things (IoT) applications, have revolutionized the modern way of life. From self-driving cars to interactive gaming, IoT devices were invented to improve daily life and make simple tasks a thing of the past.
Gartner estimates 20.8 billion connected things to be in use by the end of the year; these applications need a strong digital “architecture” to rapidly process data and to take action upon a user’s immediate command.
Through a National Science Foundation CAREER award of approximately $490,000, Liting Hu—assistant professor in the School of Computing & Information Sciences at the College of Engineering & Computing—is designing and building a stream processing system to benefit time-critical IoT applications and improve their performance. The system will primarily enhance the capabilities of devices involved in factory automation, autonomous vehicles and process automation.
Think ahead to the future, riding in a self-driving vehicle, among several other driverless cars. All these vehicles have numerous sensors installed in them to collect driving activity data. Depending on the role of the sensor, it can measure the distance between cars, advise of incoming traffic, discover a passenger’s favorite music selection and learn the address of their work office.
Read more at FIU News.