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Scalable metadata-directed search in a network of information

机译:信息网络中可伸缩的元数据导向搜索

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The information-centric paradigm has been recently proposed for the design of future networking systems. A key requirement for realising such systems is having mechanisms that provide efficient, scalable and accurate information search. In this paper, we present solutions for both one-time and continuous searches. Our solution for one-time searches is scalable for its search completion time grows sublinearly with the system size. In addition, the overhead it introduces is evenly distributed. For our solution for continuous searches, we discuss its tradeoff between load (efficiency) and timeliness (accuracy).
机译:最近提出了以信息为中心的范例,用于未来的网络系统的设计。实现这样的系统的关键要求是具有提供有效,可伸缩和准确的信息搜索的机制。在本文中,我们提出了一次性和连续搜索的解决方案。我们的一次性搜索解决方案具有可扩展性,因为其搜索完成时间随系统规模而线性增长。此外,它引入的开销是平均分配的。对于我们的连续搜索解决方案,我们讨论了其在负载(效率)和及时性(准确性)之间的权衡。

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