C-SAS Framework Reduces Cloud Thrashing by 94% Using Complex Analysis
A recent publication on arXiv introduces C-SAS (Complex-Stability Aware Scaling), an advanced autonomous orchestration framework tailored for distributed cloud settings. Unlike conventional heuristic approaches, C-SAS employs complex analytical techniques—namely the Argument Principle and Rouché's Theorem—to transform telemetry noise into a deterministic 'Safety Envelope' within the s-plane. The framework generates a real-time Analytic Stability Index (ASI) aimed at minimizing oscillatory scaling actions that can harm performance. Experimental findings indicate that C-SAS reduces VM flapping by 94% and achieves a remarkable 96% resource efficiency, significantly surpassing traditional PID and ML-based autonomous systems. The full paper can be accessed at arXiv:2605.08139.
Key facts
- C-SAS uses complex analytic methods for cloud resource orchestration.
- It applies the Argument Principle and Rouché's Theorem.
- C-SAS computes a real-time Analytic Stability Index (ASI).
- VM flapping is reduced by 94%.
- Resource efficiency reaches 96%.
- Outperforms standard PID and ML-based agents.
- Paper available at arXiv:2605.08139.
- Addresses cloud thrashing due to network-induced latencies.
Entities
Institutions
- arXiv