partitionability analysis
可分割性分析
assessing partitionability
評估可分割性
improving partitionability
提高可分割性
partitionability limits
可分割性限制
lack of partitionability
缺乏可分割性
partitionability testing
可分割性測試
partitionability study
可分割性研究
partitionability problem
可分割性問題
high partitionability
高可分割性
partitionability feature
可分割性特徵
the algorithm's partitionability significantly impacts its scalability.
算法的可分割性對其可擴展性有顯著影響。
we assessed the partitionability of the dataset for distributed processing.
我們評估了數據集的可分割性以進行分布式處理。
high partitionability is crucial for achieving parallel computation efficiency.
高可分割性對於實現並行計算效率至關重要。
poor partitionability can lead to bottlenecks in the system's performance.
較差的可分割性會導致系統性能的瓶頸。
improving partitionability is a key challenge in distributed database design.
提高可分割性是分布式數據庫設計中的關鍵挑戰。
the system exhibits good partitionability across multiple nodes.
該系統在多個節點上表現出良好的可分割性。
analyzing partitionability helps optimize data distribution strategies.
分析可分割性有助於優化數據分佈策略。
we need to evaluate the partitionability of the workload before deployment.
在部署之前，我們需要評估工作負載的可分割性。
the goal is to maximize partitionability for faster query execution.
目標是最大化可分割性以實現更快的查詢執行。
partitionability constraints limit the choice of data storage solutions.
可分割性限制會限制數據存儲方案的選擇。
understanding partitionability is essential for designing scalable systems.
了解可分割性對於設計可擴展的系統至關重要。
partitionability analysis
可分割性分析
assessing partitionability
評估可分割性
improving partitionability
提高可分割性
partitionability limits
可分割性限制
lack of partitionability
缺乏可分割性
partitionability testing
可分割性測試
partitionability study
可分割性研究
partitionability problem
可分割性問題
high partitionability
高可分割性
partitionability feature
可分割性特徵
the algorithm's partitionability significantly impacts its scalability.
算法的可分割性對其可擴展性有顯著影響。
we assessed the partitionability of the dataset for distributed processing.
我們評估了數據集的可分割性以進行分布式處理。
high partitionability is crucial for achieving parallel computation efficiency.
高可分割性對於實現並行計算效率至關重要。
poor partitionability can lead to bottlenecks in the system's performance.
較差的可分割性會導致系統性能的瓶頸。
improving partitionability is a key challenge in distributed database design.
提高可分割性是分布式數據庫設計中的關鍵挑戰。
the system exhibits good partitionability across multiple nodes.
該系統在多個節點上表現出良好的可分割性。
analyzing partitionability helps optimize data distribution strategies.
分析可分割性有助於優化數據分佈策略。
we need to evaluate the partitionability of the workload before deployment.
在部署之前，我們需要評估工作負載的可分割性。
the goal is to maximize partitionability for faster query execution.
目標是最大化可分割性以實現更快的查詢執行。
partitionability constraints limit the choice of data storage solutions.
可分割性限制會限制數據存儲方案的選擇。
understanding partitionability is essential for designing scalable systems.
了解可分割性對於設計可擴展的系統至關重要。
探索常見搜尋詞彙