描述性名称服务中的分布式活动目录和元数据缓存

J. Ordille, B. Miller
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引用次数: 40

摘要

今天的全球互联网络对名称服务和其他信息服务快速定位数据的能力提出了挑战。作者介绍了分布式活动目录和元数据缓存来优化这种环境中的查询。活动目录通过返回可能在其中找到查询答案的数据存储库列表来限制查询的搜索空间。元数据缓存通过保持经常使用的搜索空间特征接近用户并消除活动目录通信和处理成本来提高性能。在搜索查询响应时,这些技术仅使用实际响应联系一小部分数据存储库,导致搜索时间仅为几秒钟。分布式活动目录和元数据缓存方法在称为Nomenclator的原型描述性名称服务中实现。本文给出了Nomenclator在1000个数据存储库的搜索空间中的性能结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed active catalogs and meta-data caching in descriptive name services
Today's global internetworks challenge the ability of name services and other information services to locate data quickly. The authors introduce distributed active catalog and meta-data caching for optimizing queries in this environment. The active catalog constrains the search space for a query by returning a list of data repositories where the answer to the query is likely to be found. Meta-data caching improves performance by keeping frequently used characterizations of the search space close to the user, and eliminating active catalog communication and processing costs. When searching for query responses, the techniques contact only the small percentage of the data repositories with actual responses, resulting in search times of a few seconds. A distributed active catalog and meta-data caching method was implemented in a prototype descriptive name service called Nomenclator. Performance results for Nomenclator in a search space of 1000 data repositories are presented.<>
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