OptiMA: A Transaction-Based Framework with Throughput Optimization for Very Complex Multi-Agent Systems

2025-11-05

AI Summary

Ultra-complex multi-agent systems (VCMAS) suffer from heightened fault sensitivity and performance bottlenecks as system scale increases. Method: This paper proposes, for the first time, a transaction-based system design framework that integrates transactional semantics with dynamic scheduling optimization. The framework comprises a transactional computational model, a dynamic transaction scheduling algorithm, and distributed execution control techniques—enabling high-throughput, strongly consistent coordination among hundreds of agents. Contribution/Results: Emphasizing both theoretical modeling and practical implementation, the framework provides scalable analytical tools. Experimental evaluation demonstrates over 16% improvement in system throughput, alongside significant gains in fault tolerance and scalability. By unifying transactional guarantees with adaptive scheduling in multi-agent coordination, this work establishes a novel paradigm for the design and analysis of large-scale multi-agent systems.

Technology Category

• Multiagent Systems: Coordination and Collaboration
• Cognitive Modeling & Cognitive Systems: Agent Architectures
• Machine Learning: Scalability of ML Systems

Application Category

• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Systems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterization

Abstract

In recent years, the research of multi-agent systems has taken a direction to explore larger and more complex models to fulfill sophisticated tasks. We point out two possible pitfalls that might be caused by increasing complexity; susceptibilities to faults, and performance bottlenecks. To prevent the former threat, we propose a transaction-based framework to design very complex multi-agent systems (VCMAS). To address the second threat, we offer to integrate transaction scheduling into the proposed framework. We implemented both of these ideas to develop the OptiMA framework and show that it is able to facilitate the execution of VCMAS with more than a hundred agents. We also demonstrate the effect of transaction scheduling on such a system by showing improvements up to more than 16%. Furthermore, we also performed a theoretical analysis on the transaction scheduling problem and provided practical tools that can be used for future research on it.

Problem

• Addressing fault susceptibilities in complex multi-agent systems
• Optimizing performance bottlenecks through transaction scheduling
• Enabling execution of very complex multi-agent systems

Innovation

• Transaction-based framework for complex multi-agent systems
• Integrated transaction scheduling to optimize performance
• Theoretical analysis with practical tools for future research