评估X.500目录的缓存方案

J. Bolot, H. Afifi
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引用次数: 8

摘要

OSI(开放系统互连)X.500目录系统和其他分布式命名系统使用名称缓存来最小化非本地名称的名称查找成本。作者评估了名称缓存对OSI目录系统性能的影响。他们考虑缓存大小和缓存替换策略的问题。我们发现,在名称解析请求中,引用属性的局部性保持不变,因此名称缓存确实显著提高了性能。使用跟踪驱动的模拟,结果表明,小缓存(小于30个条目)的命中率高达60%,并将平均名称解析时间减少60%。对于小型缓存,LRU(最近最少使用)替换策略比其他可实现策略更好。大缓存可以产生更高的命中率。然而,对于大型缓存,LRU策略并不比随机替换策略好。我们还发现,将缓存缓冲区划分为少量独立的缓存,每个缓存与不同类型的名称请求相关联,进一步减少了平均名称解析时间
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating caching schemes for the X.500 directory
The OSI (Open Systems Interconnection) X.500 directory system and other distributed naming systems use name caching to minimize the cost of name lookups for nonlocal names. The authors evaluate the impact of name caching on the performance of the OSI directory system. They consider the issues of cache sizing and cache replacement policies. It was found that a locality of reference property holds in name resolution requests, and hence name caching does increase performance significantly. Using trace-driven simulation, it is shown that small caches (smaller than 30 items) yield hit ratios up to 60% and decrease the average name resolution time by 60%. For small caches, the LRU (least recently used) replacement policy is better than other implementable policies. Large caches yield predictably larger hit ratios. For large caches, however, the LRU policy is not better than a random replacement policy. It was also found that partitioning the cache buffer into a small number of independent caches, each one associated with a different kind of name request, further decreases the average name resolution time.<>
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