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High-Performance Centralized Content Delivery Infrastructure: Models and Asymptotics

机译:高性能集中式内容交付基础架构:模型和渐近性

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摘要

We consider a centralized content delivery infrastructure where a large number of storage-intensive files are replicated across several collocated servers. To achieve scalable mean delays in file downloads under stochastic loads, we allow multiple servers to work together as a pooled resource to meet individual download requests. In such systems, basic questions include: How and where to replicate files? What is the impact of dynamic service allocation across request types, and whether such allocations can provide substantial gains over simpler load balancing policies? What are tradeoffs among performance, reliability and recovery costs, and energy? This paper provides a simple performance model for large systems towards addressing these basic questions.
机译:我们考虑一个集中式的内容交付基础结构,其中在多个并置的服务器之间复制大量存储密集型文件。为了在随机负载下实现文件下载的可扩展平均延迟,我们允许多台服务器作为池资源一起工作,以满足单独的下载请求。在这样的系统中,基本问题包括:如何以及在哪里复制文件?跨请求类型进行动态服务分配的影响是什么,以及这种分配是否可以通过较简单的负载平衡策略带来可观的收益?性能,可靠性和恢复成本以及能源之间的权衡是什么?本文为大型系统提供了一个简单的性能模型,以解决这些基本问题。

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