collaborators

8 papers

cs.SE2026

Procrustes-Bering-Sheaft: Automated Model Discovery and Virtual Crash Tests for Microservices

Anatoly A. Krasnovsky

Procrustes-Bering-Sheaft automates lightweight model discovery and virtual crash tests for microservices. Each test estimates operation availability by Monte Carlo sampling of serv…

cs.SE2026

A Reduced Stochastic Model of Microservice Availability: Algorithms for Identification and Formal Analysis

Anatoly A. Krasnovsky, Anna Maslovskaya

Estimating microservice operation availability requires connecting runtime observations to completion of the required work within a deadline. Detailed architectural models provide…

eess.SY2026

Toward Operationalizing Rasmussen: Drift Observability on the Simplex for Evolving Systems

Anatoly A. Krasnovsky

Software operations increasingly rely on SLOs, traces, deployment specifications, and change events, yet dashboards and thresholding practices often expose share-like operational s…

cs.SE2026

Emergence-as-Code as a Foundation for Reliable Self-Governance

Anatoly A. Krasnovsky

Local adaptations can preserve component health while changing whether a system meets its reliability requirements. The system-level consequence depends on the interaction affected…

cs.SE2025

Evaluating Asynchronous Semantics in Trace-Discovered Resilience Models: A Case Study on the OpenTelemetry Demo

Anatoly A. Krasnovsky

While distributed tracing and chaos engineering are becoming standard for microservices, resilience models remain largely manual and bespoke. We revisit a trace-discovered connecti…

cs.LG2025

Measuring Uncertainty in Transformer Circuits with Effective Information Consistency

Anatoly A. Krasnovsky

Mechanistic interpretability has identified functional subgraphs within large language models (LLMs), known as Transformer Circuits (TCs), that appear to implement specific algorit…

cs.SE2025

Model Discovery and Graph Simulation: A Lightweight Gateway to Chaos Engineering

Anatoly A. Krasnovsky

Chaos engineering reveals resilience risks but is expensive and operationally risky to run broadly and often. Model-based analyses can estimate dependability, yet in practice they…

eess.SY2025

Sheaf-Theoretic Causal Emergence for Resilience Analysis in Distributed Systems

Anatoly A. Krasnovsky

Distributed systems often exhibit emergent behaviors that impact their resilience (Franz-Kaiser et al., 2020; Adilson E. Motter, 2002; Jianxi Gao, 2016). This paper presents a theo…