However, the cost of process hopping to the database is still high, thus performance on the data tier is the first place to look when optimizing your code.
然而进程跳跃到数据库的成本依然很高,因此数据层的性能是您在优化代码时首先要考虑的问题。
Combining the Parallel Job Manager (PJM), N-tier caching structures, and affinity routing provides a powerful, high-performance compute grid.
组合使用并行作业管理器(PJM)、n层缓存结构和关联路由,可以提供功能强大的高性能计算网格。
With its potential for high performance, MongoDB works well as a caching tier in an information infrastructure.
凭借其高性能的潜力,MongoDB可以作为信息基础框架的缓存层很好的工作。
应用推荐