DCApr 21

YAIFS: Yet (not) Another Intelligent Fog Simulator: A Framework for Agent-Driven Computing Continuum Modeling & Simulation

arXiv:2604.1918128.5h-index: 16Has Code
Predicted impact top 99% in DC · last 90 daysOriginality Incremental advance
AI Analysis

For researchers in cloud-edge systems, this provides a programmable simulation framework that decouples agent experimentation, but the contribution is incremental as it extends an existing simulator with a standardized interaction layer.

YAIFS transforms fog simulation into an interactive, service-oriented environment by integrating the Model Context Protocol (MCP) for agent-driven control, enabling LLM-based natural language interaction and multi-agent adaptive placement decisions under dynamic workloads.

Simulation plays a key role in the design and evaluation of distributed systems, yet it is often treated as a static tool with limited interaction capabilities. In this work, we present Yet (not) Another Intelligent Fog Simulator (YAIFS), and evolution of YAFS that redefines simulation as an interactive, service-oriented environment. YAIFS introduce a layered architecture that exposes the simulation through a unified API and service interface, enabling external entities to observe, control, and modify its execution. A central contribution is the integration of the Model Context Protocol (MCP) as a standardized interaction layer between agents and the simulation. Through MCP, heterogeneous agents can access state, invoke actions and coordinate behavior using a common set of tools, decoupling agent experimentation workflows. We illustrate these capabilities through two scenarios: an LLM-based assistant that enable natural language control of simulations, and a multi-agent setting where agents monitor system conditions and adapt placement decisions at runtime. These scenarios demonstrate how MCP structures agent-simulation interaction and enable adaptive behavior under dynamic workloads. The proposed approach transforms simulation into an interactive and programmable environment, opening new directions for AI-driven experimentation in cloud-edge systems. The implementation is publicly available at: http://github.com/acsicuib/YAIFS

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