Sentence examples for query satisfaction time from inspiring English sources

Hence, the mean query satisfaction time improves in comparison to the SE and OF policies operating independently.

Moreover, the provision of a fairly constant mean query satisfaction time with the bipartite cache across all scope distribution patterns is also evident.

The Context Provisioning Architecture employs a caching mechanism at the context broker, which positively affects the mean query satisfaction time between context consumers and providers.

The mean query satisfaction time across different combinations of SV/LV scope distributions improves from 487ms to 292.8ms, with a cache-hit ratio of approximately 46%.

The bipartite cache provides a marginally improved overall performance over the OF and SE, with a mean query satisfaction time of 326ms (˜38.1% cache-hit ratio).

The mean query satisfaction time in our experiments is 318.4ms (˜39.4% cache hit-ratio) and the results display a consistent pattern across all scope validity scenarios (Figure 7).

Mean query satisfaction times, different caching strategies and scope distribution scenarios.

The query satisfaction times improve marginally by the application of bipartite caching with dynamic partitioning from the case of equally sized bipartite cache.

The mean query satisfaction times with different caching strategy are recorded for the cases where scope distribution varies from being fully focused on SV scopes to LV scopes.

The query satisfaction times in case of the bipartite cache with fixed partition sizes only vary by a 1.45% (262ms to 265ms) as the scope distribution varies between SV and LV scoped queries i.e. it provides a fairly consistent performance.

The subsequent results demonstrate similar trends and improvement in the mean query satisfaction times through the use of caching and the comparatively better performance of the novel bipartite caching mechanism.