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Figure 11 Middleware of the reducing message overhead method.
The 'original' column in the chart is without the reducing message overhead method, the 'proposed' column is the reducing message overhead method function opening and the 'optimal' is the reducing message overhead method function working in the best case.
The middleware of the reducing message overhead method is shown in Figure 11.
Figure 12 Optional fields of reducing message overhead method included in BSM information.
The reducing message overhead method also can reduce the BSM information during unchanged conditions.
The reducing message overhead method can obtain better performance than the original by reducing repeat messages.
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In this section, we will introduce the database system OceanBase, where our low-overhead method is implemented.
We also propose a low-overhead method for maintaining an estimate of popularity that utilizes feedback (or lack there-off) obtained from previous searches.
The next section presents a low-overhead method to estimate the level of sub-block parallelism and the number of decoding iterations, which can be efficiently used at run-time.
Without much overhead, this method would be able to detect malicious and selfish behaviour attacks.
Although computationally inefficient and involving decompression overhead, the methods allow to preserve the entire datasets in the original form.
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