Collaborative Cognitive Content Dissemination and Query in Heterogeneous Mobile Opportunistic Networks

M. Radenkovic, Vu San Ha Huynh
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引用次数: 6

Abstract

This paper investigates complex challenges of opportunistic discovery of content stored in remote mobile devices and delivery to the requesting nodes in heterogeneous mobile disconnection prone environments. We propose new latency aware collaborative cognitive caching approach suitable for content dissemination and query in heterogeneous opportunistic mobile networks and dynamic workloads. Utilising fully localised and ego networks multi-layer predictive heuristics about dynamically changing topology, dynamic resources and varying popularity content, our cognitive caching achieves high success ratio, low delays and high caching efficiency for very different real world dynamically changing mobile topologies.
异构移动机会网络中的协同认知内容传播与查询
本文研究了存储在远程移动设备中的内容的机会性发现和在异构移动连接容易中断的环境中交付到请求节点的复杂挑战。我们提出了一种新的延迟感知协同认知缓存方法,适用于异构机会移动网络和动态工作负载中的内容传播和查询。利用完全本地化和自我网络的多层预测启发式动态变化的拓扑,动态资源和不同的流行内容,我们的认知缓存实现了高成功率,低延迟和高缓存效率,为非常不同的现实世界动态变化的移动拓扑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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