Topology-Aware Multi-Agent Reinforcement Learning for Efficient Resource Allocation in Cloud-Native Stream Processing
High-velocity workloads and intricate task dependencies inherent in distributed stream-processing systems pose a fundamental challenge to efficient resource allocation. Traditional heuristic and single-agent reinforcement learning (RL) schedulers frequently fail to recognize these complex network and data-flow interact...