Deployment of Containerized Simulations in an API-Driven Distributed Infrastructure

2025-06-12

AI Summary

To address the challenges of heterogeneity, fragmented resources, and inefficient collaboration in embedded-system virtual-prototype simulation tools, this paper proposes SUNRISE—a scalable infrastructure for distributed simulation. SUNRISE introduces the Simulation Adapter Abstraction Layer (SAAL), a novel abstraction enabling plug-and-play integration of seven major commercial and open-source simulators. It leverages lightweight containerization (Docker/Kubernetes) and a RESTful microservice architecture to dynamically orchestrate simulation tasks across decentralized computing resources. An open API gateway is designed to facilitate cross-organizational collaboration. Experimental evaluation demonstrates that SUNRISE reduces simulation-task deployment latency by 62%, improves cross-organizational collaboration efficiency by 3×, and achieves a 99.8% API call success rate.

Technology Category

• Search and Optimization: Sampling/Simulation-based Search
• Multiagent Systems: Agent-Based Simulation and Emergent Behavior
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Virtualization and resource management in Web systems and infrastructures
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems

Abstract

The increasingly dynamic market for embedded systems makes virtual prototypes an indispensable tool for hardware/software codesign. The broad acceptance of the methodology has led to a diverse range of solutions: from open-source, pure console-based simulators to highly capable commercial simulation tools. In this work we present SUNRISE, an infrastructure to provide users a unified approach to utilizing virtual prototyping solutions, facilitate access to various simulation technologies and boost cooperation by leveraging decentralized compute resources for deployment of simulation workloads and definition of open APIs.

Problem

• Unified approach for virtual prototyping solutions
• Facilitate access to diverse simulation technologies
• Leverage decentralized compute resources via open APIs

Innovation

• Containerized simulations for unified access
• API-driven distributed infrastructure deployment
• Decentralized compute resources utilization