首页> 外文期刊>Computer networks >SCaN-Mob: An opportunistic caching strategy to support producer mobility in named data wireless networking
【24h】

SCaN-Mob: An opportunistic caching strategy to support producer mobility in named data wireless networking

机译:SCaN-Mob:在命名数据无线网络中支持生产者移动性的机会缓存策略

获取原文
获取原文并翻译 | 示例
           

摘要

In recent years, Information-Centric Networking (ICN) architectures have been proposed to deal with many of the existing constraints of the current IP-based host-centric Internet model. The Named Data Networking (NDN) is an example of ICN, which is designed to meet many of the mobility challenges of IP-based networks. However, despite its benefits in supporting mobility of consumers, such architectures still lack efficient solutions for mobile producers, in particular, to improve contents availability during a producer's handoff. In this paper, we introduce the Shared Caching in Named Data Networking Mobile (SCaN-Mob) strategy. It minimizes the effects of the mobile producers' unavailability in NDN by creating an interest forwarding strategy and a cache replacement policy for seamless handoff of producer nodes in wireless networks. We proposed two SCaN-Mob approaches to mobile producer support: SCaN-Mob Full that uses all edge caching capacity, and SCaN-Mob AP that uses only the access point's caching capacity. Simulations results show that SCaN-Mob improves the interest satisfaction rate, while decreases the delivery delay when compared to naive NDN and increases cache hit ratio concerning the other compared solutions. (C) 2019 Published by Elsevier B.V.
机译:近年来,提出了以信息为中心的网络(ICN)架构,以应对当前基于IP的以主机为中心的Internet模型的许多现有限制。命名数据网络(NDN)是ICN的一个示例,旨在满足基于IP的网络的许多移动性挑战。然而,尽管这种架构在支持消费者的移动性方面有好处,但是仍然缺乏针对移动生产者的有效解决方案,特别是在生产者移交期间不能提高内容可用性。在本文中,我们介绍了命名数据网络移动(SCaN-Mob)策略中的共享缓存。通过创建兴趣转移策略和缓存替换策略以实现无线网络中生产者节点的无缝切换,它将NDN中移动生产者不可用的影响最小化。我们提出了两种SCaN-Mob方法来支持移动生产者:使用所有边缘缓存容量的SCaN-Mob Full和仅使用接入点缓存容量的SCaN-Mob AP。仿真结果表明,与其他NDN相比,SCaN-Mob提高了利息满意度,同时减少了交付延迟,并提高了缓存命中率。 (C)2019由Elsevier B.V.发布

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号