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Design of Content-based Forwarding over Large-scale Storage Network

机译:大规模存储网络中基于内容的转发设计

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This paper describes a design of a content-based publish/subscribe mechanism attached to large-scale storage network. The network is built as an infrastructure to support wide-area sensors network, or the Internet of Things. We want to collect the scattered computing resources of each node in a massive storage network to take up the heavy task of dissemination of a great amount of data produced by variety of sensors. Be inspired by the visualization technology, we separate task to different functional units called bricks which can be self-tuning in large-scale network that composed by inexpensive commercial hardware. And we use Bloom filter to record algorithm status for effective forwarding. With less cost we could add more flexible data distribution mechanism to massive storage network
机译:本文描述了一种连接到大型存储网络的基于内容的发布/订阅机制的设计。该网络被构建为支持广域传感器网络或物联网的基础架构。我们想要收集海量存储网络中每个节点的分散计算资源,以承担分发由各种传感器产生的大量数据的繁重任务。受可视化技术的启发,我们将任务划分为称为砖的不同功能单元,这些功能单元可以在由廉价商业硬件组成的大规模网络中进行自调整。并且我们使用布隆过滤器记录算法状态以进行有效转发。以更低的成本,我们可以为海量存储网络添加更灵活的数据分发机制

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