New C-SAS framework cuts cloud VM flapping by 94% with complex stability analysis

A new paper from arXiv proposes C-SAS (Complex-Stability Aware Scaling), an intelligent autonomous orchestration framework for distributed cloud resources. Unlike heuristic or ML-based scaling methods that can thrash under network latency, C-SAS applies complex analysis—specifically the Argument Principle and Rouché's Theorem—to transform noisy telemetry data into a deterministic 'Safety Envelope' on the s-plane. It computes a real-time Analytic Stability Index (ASI) that suppresses oscillatory scaling operations before they degrade performance.

Experimental results show C-SAS reduces VM flapping by 94% and achieves 96% resource efficiency, significantly outperforming standard PID controllers and ML-based autonomous agents. The authors argue that future resilient cloud infrastructures need orchestrators with built-in formal stability constraints. This approach could solve a long-standing problem in distributed clouds where scaling decisions cause cascading instability, especially in latency-sensitive environments.