Sentence examples for mean transfer time from inspiring English sources

Figure 15 Mean transfer time for users of type 1: Enhanced versus HM-based adaptive relaying scheme.

Figure 9 Mean transfer time for users of type 1: HM-based link adaptive relaying scheme versus classical relaying.

Figure 8 Mean transfer time for all users: HM-based link adaptive relaying scheme versus classical relaying.

We observe that the enhanced scheme achieves the lowest mean transfer time, and this is due to the additional throughput received by users of good radio conditions who will now finish their service earlier (Figure 15) and free resources to the other users in the system (Figure 16). Figure 14 Mean transfer time for all users: Enhanced versus HM-based adaptive relaying scheme.

We observe, second, that the HM-based link adaptive relaying scheme allows a gain, in terms of the mean transfer time, for users of both types, as compared to the classical relaying scheme.

Figures 8, 9, and 10 show the mean transfer time for all users in the system, users of type 1 and users of type 2, respectively, as a function of an increasing offered traffic.

2-dimensional (2D) maps are produced by using SOM to display the relationship between network latency and other parameters such as the miss rate to a modified block (Pm), fraction of write misses (Pw), probability of having an upgrade ownership request message (Puor), probability of having a cache full (Pcf) and ratio of the mean thread run time to mean message transfer time (T/R).

At the airport, the completion of the 272-room Montreal Airport Marriott in 2009 atop the US departure terminal means the transfer time from bed to check-in desk can be less than two minutes.

Sendoid is a peer-to-peer and browser-based service, so the startup is betting that peer-to-peer sharing will mean faster transfer times than if you were to use a service that transfers via a central server — and that being browser-based will make you happy because there's no software to install.

The HCSC means the transfer times in URT show a negative effect to U metro).

Second, we develop a stochastic model to predict the transfer time for bulk transmissions by any protocol belonging to the LB-CC class our model predicts both the mean as well as the variability in the transfer time.