Intelligent Autonomous Orchestration for Distributed Cloud Resources using Complex-Stability Analysis

• URL: http://arxiv.org/abs/2605.08139v1
• Date: Sat, 02 May 2026 08:57:50 GMT
• Title: Intelligent Autonomous Orchestration for Distributed Cloud Resources using Complex-Stability Analysis
• Abstract summary: C-SAS (Complex-Stability Aware Scaling) is an intelligent autonomous orchestration framework.<n>C-SAS acts as a stability-aware agent, converting telemetry noise into a "Safety Envelope" on the $s$-plane.<n>Results show that C-SAS reduces VM flapping by 94%, and 96% resource efficiency.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In modern distributed cloud environments, efficient resource allocation is required as traditional scaling mechanisms are often subject to cloud thrashing due to network-induced latencies. In this paper, we propose C-SAS (Complex-Stability Aware Scaling), an intelligent autonomous orchestration framework that leverages complex analytic methods to achieve system-wide equilibrium. In contrast to heuristic-based models, C-SAS acts as a stability-aware agent, converting telemetry noise into a deterministic "Safety Envelope" on the $s$-plane using the Argument Principle and Rouché's Theorem. The algorithm smartly suppresses oscillatory scaling operations that would otherwise degrade performance, by computing a real-time Analytic Stability Index (ASI). The experimental results show that C-SAS reduces VM flapping by 94\%, and achieves 96\% resource efficiency, significantly outperforming standard PID and ML-based autonomous agents. Our results suggest that future resilient autonomous cloud infrastructures will require AI-driven orchestrators with built-in formal stability constraints.

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