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Topological Analysis Of A Two Coupled Evolving Networks Model For Business Systems

机译:业务系统的两个耦合演化网络模型的拓扑分析

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摘要

In multi-agent systems, the underlying networks are always dynamic and network topologies are always changing over time. Performance analyses of topologies are important for understanding the robustness of the system and also the effects of topology on the system efficiency and effectiveness. In this paper, we present an example of a real-world distributed agent system, a digital business ecosystem (DBE). It is modelled as a two coupled network system. The upper layer is the business network layer where business process between different business agents happen. The lower layer is the underlying P2P communication layer to support communications between the agents. Algorithms for multi-agent tasks negotiation and execution, interaction between agents and the underlying communication network, evolutionary network topology dynamics, are provided. These algorithms consider the two network layers evolving over time, with effects on each other. Through a comprehensive set of discrete event simulation, we investigate the effects of different evolutionary principles inspired by random graph and scale-free network in complex network theory on the topological properties and performance of the underlying network. We also find several rules to design a resilient and efficient P2P network.
机译:在多代理系统中,基础网络始终是动态的,并且网络拓扑始终随时间而变化。拓扑的性能分析对于理解系统的健壮性以及拓扑对系统效率和有效性的影响非常重要。在本文中,我们提供了一个现实世界中的分布式代理系统,数字业务生态系统(DBE)的示例。它被建模为两个耦合的网络系统。上层是业务网络层,不同业务代理之间的业务流程在此发生。下层是支持代理之间的通信的基础P2P通信层。提供了用于多主体任务协商和执行,主体与底层通信网络之间的交互,演化网络拓扑动力学的算法。这些算法考虑了两个网络层随着时间的流逝而相互影响的情况。通过一组全面的离散事件模拟,我们研究了复杂网络理论中随机图和无标度网络启发的不同进化原理对基础网络的拓扑特性和性能的影响。我们还发现了一些规则来设计一个有弹性且高效的P2P网络。

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