"query performance" is correct and usable in written English.
You can use it to refer to the speed or efficiency at which a query runs within a computer system. For example, "We are working to improve the query performance of our database."
They should maintain consistency and correctness of data, and show good query performance.
In this paper, we propose a novel query routing mechanism for improving query performance in unstructured P2P networks.
The PaaSport ontology is evaluated through verification tools, competency questions, human experts, application tasks and query performance tests.
The study finds that the features desired by respondents relate to query performance – particularly on complex queries.
The performance evaluation indicates that it is indeed feasible to combine such technologies while achieving acceptable query performance.
We also discuss the significance of our results for the further development of query performance over heterogeneous Grid data sources.
The index is deployed using existing disk-based inverted indexing implementations and our algorithms exploit available techniques, like skip-lists, to further optimize the query performance.
To study the behavior of the index, a space of engineering tradeoffs which range from optimizing update time to optimizing query performance is described.
A major issue in LBS (Location Based Service) is the handling of numerous historical moving object data, affecting query performance and service quality in application systems.
Finally, we compare the TDWs and a surrogate key-based temporal data warehouse (SKTDW) using query formulation, query performance, and data warehouse size as parameters.
Our experiments demonstrate that the query performance of the HL Index significantly outperforms other state-of-the-art indexes in most scenarios.
