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Peer-to-Peer Caching Schemes to Address Flash Crowds

机译:对等缓存方案可解决闪存人群

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摘要

Flash crowds can cripple a web site's performance. Since they are infrequent and unpredictable, these floods do not justify the cost of traditional commercial solutions. We describe Backslash, a collaborative web mirroring system run by a collective of web sites that wish to protect themselves from flash crowds. Backslash is built on a distributed hash table overlay and uses the structure of the overlay to cache aggressively a resource that experiences an uncharacteristically high request load. By redirecting requests for that resource uniformly to the created caches. Backslash helps alleviate the effects of flash crowds. We explore cache diffusion techniques for use in such a system and find that probabilistic forwarding improves load distribution albeit not dramatically.
机译:大量的人群会削弱网站的性能。由于这些洪水很少发生且无法预测,因此无法证明传统商业解决方案的成本合理。我们描述了Backslash,这是一个协作Web镜像系统,由一组希望保护自己免受闪存拥挤的网站运行。反斜杠建立在分布式哈希表覆盖上,并使用覆盖的结构来主动缓存遇到异常高请求负载的资源。通过将对该资源的请求统一重定向到创建的缓存。反斜杠有助于减轻闪存拥挤的影响。我们探索了在这种系统中使用的缓存扩散技术,发现概率转发可以改善负载分配,尽管效果并不明显。

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