用于高性能多代理系统的分布式和可伸缩消息传输服务

S. Bashir, M. Rehman, H. F. Ahmad, A. Ali, H. Suguri
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引用次数: 5

摘要

多智能体系统是分布式系统研究的重要领域之一。可伸缩性是影响一个特定的多智能体系统成功部署的问题之一。系统的性能和可伸缩性不能解耦,因为在有限数量的资源内,多代理系统的性能会随着负载的增加而变化。消息传输服务(MTS)为代理提供了跨平台通信的手段。为了获得高性能,MTS必须是动态可伸缩的。现有的体系结构,声称是可扩展的,有一些缺点。它们是集中式的,并且使用组件复制或分发,这有一些缺点。基于优先级的队列是在组件级别实现动态可伸缩性的一种方法。对等通信通道提供了一种在不同机器之间进行通信时分配负载的机制。此外,点对点体系结构是实现可伸缩性的一种混合方法,因为它混合了组件分布和复制的优点。
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Distributed and scalable message transport service for high performance multi-agent systems
Multi-agent systems are one of the significant areas in the field of distributed systems. Scalability is one of the issues which effect successful deployment of a particular multi-agent system. Performance and scalability of a system cannot be decoupled because, within a limited number of resources, performance of a multi-agent system varies as the load is increased. Message transport service (MTS) provides the means for agents to communicate across the platform. For high performance, MTS must be dynamically scalable. Existing architectures, which are claimed to be scalable, have some shortcomings. They are centralized, and use component replication or distribution, which has some drawbacks. Priority based queues are one way to achieve dynamic scalability at component level. Peer communication channels provide a mechanism to distribute the load while communication is taking place among different machines. Moreover, peer-to-peer architecture is a hybrid approach to achieving scalability, as it is a blend of the merits of component distribution and replication.
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