论文标题
持续且可扩展的翡翠：基于云的无内存多代理框架
Persistent And Scalable JADE: A Cloud based InMemory Multi-agent Framework
论文作者
论文摘要
多代理系统通常在持久可扩展性方面受到限制。对于代理状态经常更改的应用程序，此问题更为普遍。这会使现有的方法增加，因为它们增加了代理的复杂性，并且可扩展性较低。这项研究介绍了Anovel内存剂持久性框架。实施了两个原型恒星，一种使用拟议的解决方案，另一种使用已建立的代理持久性环境。实验结果证实，所提出的框架比现有方法更可扩展，同时提供了持久的持久性水平。这些发现将有助于未来时间的多构想系统变得可扩展，并在动态的云环境中持久。
Multi-agent systems are often limited in terms of persistenceand scalability. This issue is more prevalent for applications inwhich agent states changes frequently. This makes the existingmethods less usable as they increase the agent's complexityand are less scalable. This research study has presented anovel in-memory agent persistence framework. Two prototypeshave been implemented, one using the proposed solution andthe other using an established agent persistency environment.Experimental results confirm that the proposed framework ismore scalable than existing approaches whilst providing asimilar level of persistency. These findings will help futurereal-time multiagent systems to become scalable and persistentin a dynamic cloud environment.
