AI-Driven Autonomous Resource Scheduling in Cloud–Edge Environments
Cloud Edge computing provides services with low latencies by allocating workloads between centralized cloud servers and geographically close edge nodes, but dynamic workloads and nonhomogeneous resources render the scheduling of workloads a thorny multi-objective optimization problem. The given paper proposes a framewo...