在新兴的低地球轨道卫星和云上协同构建具有成本效益的内容分发网络

Zeqi Lai, Hewu Li, Qi Zhang, Qian Wu, Jianping Wu
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引用次数: 3

摘要

Internet内容提供商通常利用基于云的内容交付/分发网络(cdn)来提供具有高可用性和低延迟的广域数据访问。然而,从全球范围来看,由于地面云基础设施部署不足,很大一部分用户仍然存在较高的内容访问延迟。本文提出了一种具有成本效益的内容分发框架StarFront,用于优化全球cdn并在任何地方实现低内容访问延迟。StarFront在新兴的低地球轨道(LEO)星座和现有云平台上构建cdn,以满足低延迟要求,同时最大限度地降低运营成本。具体来说,StarFront利用了一个关键的洞察力,即新兴的巨型星座将由数千颗配备高速数据链路和存储的LEO卫星组成,因此可以作为“太空缓存”,实现普遍和低延迟的数据访问。StarFront明智地将副本放置在LEO卫星或云上,并根据星座参数、云/用户分布和定价策略动态地将用户请求分配到适当的缓存服务器。覆盖地理分布优势点的广泛跟踪驱动评估表明:StarFront可以在代表性CDN流量下以可接受的运营成本有效地减少全球内容访问延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperatively Constructing Cost-Effective Content Distribution Networks upon Emerging Low Earth Orbit Satellites and Clouds
Internet content providers typically exploit cloud-based content delivery/distribution networks (CDNs) to provide wide-area data access with high availability and low latency. However, from a global perspective, a large portion of users still suffer from high content access latency due to the insufficient deployment of terrestrial cloud infrastructures.This paper presents StarFront, a cost-effective content distribution framework to optimize global CDNs and enable low content access latency anywhere. StarFront builds CDNs upon emerging low Earth orbit (LEO) constellations and existing cloud platforms to satisfy the low-latency requirements while minimizing the operational cost. Specifically, StarFront exploits a key insight that emerging mega-constellations will consist of thousands of LEO satellites equipped with high-speed data links and storage, and thus can potentially work as "cache in space" to enable pervasive and low-latency data access. StarFront judiciously places replicas on either LEO satellites or clouds, and dynamically assigns user requests to proper cache servers based on constellation parameters, cloud/user distributions and pricing policies. Extensive trace-driven evaluations covering geo-distributed vantage points have demonstrated that: StarFront can effectively reduce the global content access latency with acceptable operational cost under representative CDN traffic.
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