...统架构11.2缓存对象11.3缓存结构11.4缓存淘汰策略(Evict Policy)11.4.1动态策略11.4.2混合策略11.5缓存更新策略(Refresh Policy)本章提要本章参考文献第12章搜索引擎发展趋势12.1个性化搜索12.2社会化搜索12.3实时搜索12.4移动搜索12.5地理位置感知搜索12.6跨...
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研究网络状态检测算法、数据缓存更新策略、数据同步策略、数据并发策略。
Studying the algorithms for network condition, the strategy for refreshing Data Caching, the Data Synchronization Strategy and the Data Concurrency Strategy;
这通常是性能倒数第二的策略,因为它要求有缓存锁,缓存集群中使用重量级的“推”更新策略。
This is usually the second worst performing strategy due to its cache lock requirement and the heavy "push" update policy for clustered caches.
如果缓存是一个集群,“更新缓存”的调用会将新值推送给所有副本,这通常被称为“推(push)”更新策略。
If the cache is clustered, the "updates cache" call will push the new value to all replicates, which is often referred to as a "push" update policy.
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