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首页> 外文期刊>IEEE transactions on multimedia >An SDN-Based Caching Decision Policy for Video Caching in Information-Centric Networking
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An SDN-Based Caching Decision Policy for Video Caching in Information-Centric Networking

机译：以信息为中心的网络缓存基于SDN的缓存决策策略

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摘要

The considerable increase of multimedia services, such as video-on-demand (VoD) services, is a significant contributor to the total Internet traffic. Software-defined networking (SDN) and information-centric networking (ICN) are two promising technologies that can be combined to facilitate video delivery and to reduce network delays. In this paper, we first formulate the caching decision problem as a 0-1 integer linear programming (ILP) problem. Second, in contrast to existing approaches that solve the formulated ILP problem by assuming all future video requests are known, we consider the impact of the time scale, which transforms the static 0-1 ILP problem into a dynamic problem. By solving the dynamic 0-1 ILP problem, we find more accurate optimal solutions compared to existing approaches. Third, since the formulated 0-1 dynamic ILP problem is NP-hard, we leverage the in-network caching of ICN and the global view of the SDN controller to propose a novel SDN-based caching decision policy. Finally, extensive evaluations are performed, and the results demonstrate that the proposed SDN-based caching decision policy provides solutions that are close to the optimum in substantially less computation time. The SDN-based caching decision policy also outperforms existing practical ICN caching decision policies in terms of the cache hit ratio and the average number of hops, which are directly related to the video delivery latency. Moreover, the SDN-based caching decision policy can substantially reduce the number of generated and broadcasted interest packets, which is a shortcoming of the current ICN.
机译：多媒体服务的大量增加，例如视频点播（VOD）服务，是互联网流量总数的重要贡献者。软件定义的网络（SDN）和以信息为中心的网络（ICN）是两个有希望的技术，可以组合以促进视频传输并降低网络延迟。在本文中，我们首先将缓存决策问题作为0-1整数线性编程（ILP）问题。其次，与通过假设已知所有未来的视频请求来解决所配制的ILP问题的现有方法，我们考虑了时间尺度的影响，这将静态0-1 ILP问题转化为动态问题。通过解决动态0-1 ILP问题，与现有方法相比，我们发现更准确的最佳解决方案。第三，由于配制的0-1动态ILP问题是NP-Hard，我们利用ICN的网络网络缓存和SDN控制器的全局视图，提出了一种基于SDN的缓存决策策略。最后，进行了广泛的评估，结果表明，所提出的基于SDN的缓存决策策略提供了靠近最佳计算时间的最佳解决方案。基于SDN的缓存判决策略还优于现有的实用ICN缓存决策策略，即高速缓存命中率和与视频传输延迟直接相关的平均跳数。此外，基于SDN的缓存判决策略可以大大减少生成和广播的兴趣分组的数量，这是当前ICN的缺点。

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