BEHAVE: Behavior-Aware, Intelligent, and Fair Resource Management for Heterogeneous Edge-IoT Systems

Data-driven approaches are envisioned to build future Edge-IoT systems that satisfy IoT devices demands for edge resources. However, significant challenges and technical barriers exist which complicate resource management of such systems. can demonstrate a wide range behaviors in the demand extremely difficult manage. In addition, resources fairly efficiently by setting is challenging task. this paper, we develop novel data-driven framework named BEHAVE intelligently allocates with consideration their behavior (BRD). aims holistically address 1) building an efficient scheme modeling assessment BRD based on requests usage; 2) expanding new Rational, Fair, Truthful Resource Allocation (RFTA) model binds allocation achieve fair encourage truthfulness demand; 3) developing enhanced deep reinforcement learning (EDRL) RFTA goals. The evaluation results BEHAVE's capability analyze adjust its policy accordingly.