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Reliable Multicast With Active Filtering for Distributed Simulations

机译:具有积极过滤的可靠多播,用于分布式模拟

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Large distributed simulations where multicast is used for data distribution have an inherent scalability problem-the number of multicast groups grows rapidly with the number of participants. We describe a publish/subscribe based active networking system where receiver interest information is stored as packet filters at the active nodes on the multicast distribution tree and multicast data is pruned at the earliest node possible. Modifications to the system provide reliable data delivery to support loss-sensitive data streams. Selective caching at some active nodes allows the recipient of a lossy data stream to partially trace back to the first cached instance of the missing packet. We argue that the performance penalty for applications that do not use the active filtering service is minimal, enabling the system to coexist in an open network with other applications.
机译:大型分布式模拟,其中组播用于数据分布具有固有的可伸缩性问题 - 多播组的数量随着参与者的数量而迅速增长。我们描述了一种基于发布/订阅的有源网络系统,其中收款人兴趣信息被存储为在多播分发树上的活动节点处的分组滤波器,并且在最早节点处被修剪多播数据。对系统的修改提供可靠的数据传送以支持丢失敏感数据流。在某些活动节点处的选择性缓存允许有损数据流的接收者部分追踪丢失丢失的数据包的第一个缓存实例。我们认为,不使用活动过滤服务的应用程序的性能惩罚是最小的,使系统能够使用其他应用程序在开放网络中共存。

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