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Figure 9 Data block size scaling of TeraSort workload.
Thus, the data block size is 4 × 376 bits.
Figure 3 Thresholds computed using density evolution and simulations (data block size K).
All the codes have data block size K and code rate 3/4.
Normalized Doppler rate, code rate 0.5, data block size 32 K, or pilot insertion, 10 iterations.
To determine an appropriate data block size for the Hadoop mobile cluster, the job completion time of the I/O intensive TeraSort workload with 1 GB input data is measured as the data block size gradually increases.
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Contrary to expectations, Figure 9 displays performance degradation in small data block sizes.
We plan to address the job scheduling aspect, more specifically how to shorten the overall map phase completion time of multiple MapReduce jobs, which have different input data block sizes.
Bit error rates after 20, 30, and 50 (global) iterations are plotted, and data block sizes from short to large (512, 1 K, 4 K, and 64 K) are evaluated to demonstrate the interleaving gain.
The total memory requirement of the CTE is N c M L-1 + 4N c + L. Figure 9 shows the memory requirement of the HNN-TE and the CTE in bytes (32 bits = 8 bytes) for coded data block sizes of N c = 160, N c = 640, and N c = 2560 and CIR lengths increasing from L = 1 to L = 25.
After computing M forward messages at time-step k (one for each of the M states at time-step k), all the messages at time-step k are normalized (NORMALIZE) so as to prevent message values from becoming very small due to multiplication of probabilities, when large data block sizes are used.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com