Intelligent Autonomous Orchestration for Distributed Cloud Resources using Complex-Stability Analysis
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 performanc...
| Authors | Gopal Krishna Shyam, Priyanka Bharti |
|---|---|
| Primary category | cs.DC |
| Published | 2 May 2026 |
| Last updated at source | 2 May 2026 |
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