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Performance Impact of Large File Transfer on Web Proxy Caching: A Case Study in a High Bandwidth Campus Network Environment

机译:大文件传输对Web代理缓存的性能影响:以高带宽校园网络环境为例

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Since large objects consume substantial resources, web proxy caching incurs a fundamental trade-off between performance (i.e., hit-ratio and latency) and overhead (i.e., resource usage), in terms of caching and relaying large objects to users. This paper investigates how and to what extent the current dedicated-server based web proxy caching scheme is affected by large file transfers in a high bandwidth campus network environment. We use a series of trace-based performance analyses and profiling of various resource components in our experimental squid proxy cache server. Large file transfers often overwhelm our cache server. This causes a bottleneck in a web network, by saturating the network bandwidth of the cache server. Due to the requests for large objects, response times required for delivery of concurrently requested small objects increase, by a factor as high as a few million, in the worst cases. We argue that this cache bandwidth bottleneck problem is due to the fundamental limitations of the current centralized web proxy caching model that scales poorly when there are a limited amount of dedicated resources. This is a serious threat to the viability of the current web proxy caching model, particularly in a high bandwidth access network, since it leads to sporadic disconnections of the downstream access network from the global web network. We propose a peer-to-peer cooperative web caching scheme to address the cache bandwidth bottleneck problem. We show that it performs the task of caching and delivery of large objects in an efficient and cost-effective manner, without generating significant overheads for participating peers.
机译:由于大对象消耗大量资源,因此就缓存和将大对象中继给用户而言,Web代理缓存在性能(即命中率和延迟)和开销(即资源使用)之间产生了根本的折衷。本文研究了在高带宽园区网络环境中,当前基于专用服务器的Web代理缓存方案如何以及在多大程度上受到大文件传输的影响。我们在实验性鱿鱼代理缓存服务器中使用了一系列基于跟踪的性能分析和各种资源组件的性能分析。大文件传输通常使我们的缓存服务器不堪重负。通过使缓存服务器的网络带宽饱和,这将导致Web网络中出现瓶颈。由于需要大对象,在最坏的情况下,交付并发请求的小对象所需的响应时间增加了几百万倍。我们认为,此缓存带宽瓶颈问题是由于当前集中式Web代理缓存模型的基本局限性所致,该模型在专用资源数量有限时无法很好地扩展。这严重威胁了当前Web代理缓存模型的生存能力,尤其是在高带宽访问网络中,因为这会导致下游访问网络与全局Web网络的偶尔断开。我们提出了一种对等协作式Web缓存方案,以解决缓存带宽瓶颈问题。我们表明,它以有效和具有成本效益的方式执行缓存和交付大型对象的任务,而不会为参与的对等方产生大量开销。

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