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Service Ratio-Optimal, Content Coherence-Aware Data Push Systems

机译:服务比率最佳,内容一致性感知的数据推送系统

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Advertising new information to users via push is the trigger of operation for many contemporary information systems. Furthermore, passive optical networks are expected to extend the reachability of high-quality push services to thousands of clients. The efficiency of a push service is the ratio of successfully informed users. However, pushing only data of high popularity can degrade the thematic coherency of the content. The present work offers a novel, analysis-derived, tunable way for selecting data for push services. The proposed scheme can maximize the service ratio of a push system with regard to data coherence constraints. Extensive simulations demonstrate the efficiency of the scheme compared to alternative solutions. The proposed scheme is the first to tackle the problem of data coherence-aware, service ratio optimization of push services.
机译:通过推送向用户发布新信息是许多现代信息系统运行的触发条件。此外,无源光网络有望将高质量推送服务的可达性扩展到成千上万的客户。推送服务的效率是成功通知用户的比率。但是,仅推送高人气的数据可能会降低内容的主题一致性。本工作为选择推送服务的数据提供了一种新颖的,可分析的,可调整的方式。所提出的方案可以在数据一致性约束方面最大化推送系统的服务比率。与替代解决方案相比,大量仿真证明了该方案的效率。提出的方案是第一个解决数据一致性感知,推送服务的服务比率优化的问题的方案。

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