MAS-H2: A Hierarchical Multi-Agent System for Holistic Cloud-Native Autoscaling
Autoscaling in cloud-native platforms like Kubernetes is reactive and metric-driven, leading to a strategic void problem. This comes from the decoupling of higher-level business policies from lower-level resource provisioning. The strategic void, coupled with a fragmented coordination of pod and node scaling, can lead to significant resource waste and performance degradation under dynamic workloads. In this paper, we present MAS-H2, a new hierarchical multi-agent system that addresses the challenges of autonomic cloud resource management with a complete end-to-end solution. MAS-H2 systematically decomposes the control problem into three layers: a Strategic Agent that formalises business p...
| Authors | Hamed Hamzeh, Parisa Vahdatian |
|---|---|
| Primary category | cs.DC |
| Published | 8 March 2026 |
| Last updated at source | 8 March 2026 |
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