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Scalability and robustness of a network resource allocation system using market-based agents

机译：使用基于市场的代理的网络资源分配系统的可伸缩性和鲁棒性

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In this paper, we consider issues associated with scalability and robustness in designing a market-based multi-agent system that allocates bandwidth in a communications network. Specifically, an empirical evaluation is carried out to assess the system performance under a variety of design configurations in order to provide an insight into network deployment issues. This extends our previous work in which we developed an application that makes use of market-based software agents that compete in decentralised marketplaces to buy and sell bandwidth resources in a network that is partitioned into regions, each with a separate market server. We investigate the average call success rate and average message load per market server, as the number of markets are scaled up in a fixed size network. The same investigations are performed in the presence of single market failures. Finally, for both the failure and non-failure cases, a trade-off is found between their average call success rates and message load per server in order to find an optimum number of regions to deploy in the network.
机译：在本文中，我们在设计基于市场的多代理系统（在通信网络中分配带宽）时考虑了与可伸缩性和鲁棒性相关的问题。具体来说，进行实证评估以评估各种设计配置下的系统性能，以便深入了解网络部署问题。这扩展了我们以前的工作，在该工作中，我们开发了一个应用程序，该应用程序使用基于市场的软件代理，这些代理在分散的市场中竞争以在划分为区域的网络（每个区域都有单独的市场服务器）中买卖带宽资源。随着市场规模在固定规模的网络中扩展，我们调查了每个市场服务器的平均呼叫成功率和平均消息负载。在出现单一市场失灵的情况下进行相同的调查。最后，对于故障情况和非故障情况，都需要在平均呼叫成功率和每台服务器的消息负载之间进行权衡，以便找到要在网络中部署的最佳区域数。

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