Mohammed Waseem Ahmed

Guarded deep reinforcement learning for SLA latency and energy aware task scheduling in IoT edge cloud environments

With the fast-growing IoT applications, there is a need for intelligent task-scheduling mechanisms that can meet the latency, energy, and service-level agreement (SLA) constraints in a dynamic edge–cloud environment. This may not be met with traditional heuristic and deep reinforcement learning (DRL)-based schedulers u...