Sentence examples for update throughput from inspiring English sources

To deal with high packet arrival rate, it is desirable that such systems are able to support very high update throughput.

In Cooper et al.[62], Cassandra achieved the highest update throughput on an update heavy workload in comparison to HBase, MySQL, and Yahoo's PNUTS [63].

Compared with in-memory key–value store system Redis, NVHT still achieves higher transaction performance in terms of random update throughput (up to 1.5x and 2.5x for RDB scheme and AOF scheme, respectively).

The updated throughput expression becomes text{Throughput}=frac{p_{s}T_{s}}{p_{s}T_{s} + p_{c}T_{c} + p_{I}sigma + 2p_{s}text{CTS}} (13) Fig. 21 Channel view of RC (scenario I) Fig. 22 Channel view of RC (scenario II). Figure 23 shows the achievable throughput for the two flows averaged for both topologies.

At this point, the ASA improvement compares the current updated throughput information for the random rate (text{ KtB }_{text{ r }}) against the previous (text{ KtB }_{text{ r }}) value for the purpose of adjusting the standard deviation (sigma ) of the normal distribution (mathcal N (mu,sigma ^2)).

In order to compare our system with another version that utilizes the quiescent approach and to show the benefits of our approach, we evaluated the prototype application using both approaches in order to measure the update time, throughput and latency.

Then the scheduler computes new metrics with the updated link throughput estimates for the remaining unallocated resources and repeats the procedure until all resources have been allocated or no more nonnegative scheduling metrics are found.

Phase 4. CR FA performance evaluation and conflict graph update: Calculate interference, throughput, and throughput variance for all SUs.

In addition, some of the algal gene information in AlgaePath is limited; therefore, as more high-throughput experimental datasets become available it will be essential to continuously update the high-throughput data in AlgaePath.

The first variant updates the past throughput every scheduling period regardless whether the user has been scheduled or not, the second variant updates the past throughput only if the user is indeed chosen for transmission.

Compared to the synchronization mechanism, our method improves throughput of update operations by 1.3×.