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A Novel Fog Computing Based Architecture to Improve the Performance in Content Delivery Networks

机译：一种基于雾计算的架构，可提高内容传递网络的性能

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Along with the continuing evolution of the Internet and its applications, Content Delivery Networks (CDNs) have become a hot topic with both opportunities and challenges. CDNs were mainly proposed to solve content availability and download time issues by delivering content through edge cache servers deployed around the world. In our previous work, we presented a novel CDN architecture based on a Fog computing environment as a promising solution for real-time applications. In such architecture, we proposed to use a name-based routing protocol following the Information Centric Networking (ICN) approach, with a popularity-based caching strategy to guarantee overall delivery performance. To validate our design principle, we have implemented the proposed Fog-based CDN architecture with its major protocol components and evaluated its performance, as shown through this article. On the one hand, we have extended the Optimized Link-State Routing (OLSR) protocol to be content aware (CA-OLSR), i.e., so that it uses content names as routing labels. Then, we have integrated CA-OLSR with the popularity-based caching strategy, which caches only the most popular content (MPC). On the other hand, we have considered two similar architectures for conducting performance comparative studies. The first is pure Fog-based CDN implemented by the original OLSR (IP-based routing) protocol along with the default caching strategy. The second is a classical cloud-based CDN implemented by the original OLSR. Through extensive simulation experiments, we have shown that our Fog-based CDN architecture outperforms the other compared architectures. CA-OLSR achieves the highest packet delivery ratio (PDR) and the lowest delay for all simulated numbers of connected users. Furthermore, the MPC caching strategy shows higher cache hit rates with fewer numbers of caching operations compared to the existing default caching strategy, which caches all the pass-by content.
机译：随着互联网的持续演变以及其应用，内容交付网络（CDN）已成为具有机遇和挑战的热门话题。 CDN主要提出通过通过在全球部署的边缘缓存服务器提供内容来解决内容可用性和下载时间问题。在我们以前的工作中，我们基于雾计算环境提出了一种小型CDN架构，作为实时应用的有希望的解决方案。在这种架构中，我们建议使用以信息以信息为中心的网络（ICN）方法来使用基于名称的路由协议，具有基于受欢迎的缓存策略，以保证整体输送性能。为了验证我们的设计原则，我们已经通过本文所示实现了具有其主要协议组件的基于迷彩的CDN架构，并评估其性能，如本文所示。一方面，我们将优化的链路状态路由（OLSR）协议扩展为内容感知（CA-OLSR），即，它使用内容名作为路由标签。然后，我们与基于人气的缓存策略集成了CA-OLSR，只能缓存最流行的内容（MPC）。另一方面，我们已经考虑了两个类似的架构进行性能比较研究。第一个是由原始OLSR（基于IP的路由）协议实现的纯FOG的CDN以及默认缓存策略。第二个是由原始olsr实现的基于古典云的CDN。通过广泛的仿真实验，我们已经表明，基于雾的CDN体系结构优于其他比较架构。 CA-OLSR实现了最高的数据包传递比率（PDR）和所有模拟连接用户数的最低延迟。此外，与现有的默认缓存策略相比，MPC缓存策略显示了更高的高速缓存命中率，与现有的默认缓存策略相比，较少的缓存操作，其缓存所有通过内容。

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