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Resource Reservation and Request Routing for a Cloud-Based Content Delivery Network

机译:基于云的内容交付网络的资源预留和请求路由

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Content delivery networks (CDNs) built on clouds constitute a promising content-distribution-as-a-service alternative. Exploiting the advantages of the cloud, such as the pay-as-you-go business model and geographical dispersion of resources, a cloud-based CDN can provide a flexible and cost-effective solution to realize content delivery without investments on installing and maintaining the infrastructures. However, resource reservation and request routing are critical issues to be addressed in such systems due to the geographical diversity of cloud resource prices and the dynamic nature of traffic demands. In this paper, we investigate the optimal resource reservation problem of cloud resources and explore the best trade-off between rental cost and user experience, and formulate the problem and develop a heuristic approach for it. To deal with fluctuating user demands, we further investigate the request routing optimization problem and design an online heuristic algorithm to redirect user requests. The simulation experiments demonstrate the effectiveness of our algorithms.
机译:基于云的内容交付网络(CDN)构成了一种有前途的内容分发即服务的替代方案。利用云计算的优势,例如按需付费业务模型和资源的地域分散性,基于云的CDN可以提供一种灵活而经济高效的解决方案,无需安装和维护该设备即可进行内容交付。基础设施。但是,由于云资源价格的地域多样性和流量需求的动态性质,资源预留和请求路由是此类系统中要解决的关键问题。在本文中,我们研究了云资源的最佳资源预留问题,并探索了租赁成本与用户体验之间的最佳权衡,并提出了问题并开发了启发式方法。为了应对用户需求的波动,我们进一步研究了请求路由优化问题,并设计了一种在线启发式算法来重定向用户请求。仿真实验证明了我们算法的有效性。

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