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Numerous simulations and experiments are conducted to confirm the efficiency of this architecture.
The efficiency of this architecture has been experimentally evaluated and the results are shown in this paper.
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The global efficiency improvement of this architecture has been estimated for + 15 to 20% compared to classic ones.
Hence, one contradictory question arises based on the efficiency of the architecture as a restricting factor towards the design and development of future Internet architecture.
Moreover, the metrics ensure that capabilities of the processors are exploited by maximising the efficiency of the architecture.
The results show that the approach increases the efficiency of the architecture in keeping the expected behaviour stable during runtime operation.
A study of the efficiency of these architectures shows that in general stability and efficiency do not go together.
To compensate the loss of spectral efficiency caused by this architecture and to increase the capacity, optimal resource allocation has been considered in [5, 8, 10, 11, 15, 16].
The following is a further analysis of the efficiency of this design using the GPU architecture for signal capture.
A new study shows that splitting ribosomal protein content into many small, similarly sized units maximizes the efficiency of this synthesis, suggesting that ribosomal architecture has been shaped by evolutionary pressure to efficiently self-synthesize.
Moreover, the efficiency of proposed architecture in terms of throughput is also shown.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com