Revisiting online scheduling for AI-driven internet of things

Abstract

AI-driven Internet of Things (IoT) use AI Inference to characterize data processed from various sensors. Together, AI and IoT support smart buildings, cities, cars and drones. However, AI Inference requires updates when executed in new contexts. Frequent updates consume more energy and drain Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for thirdparty components of this work must be honored. For all other uses, contact the owner/author(s).