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Most of the proposed indicators for SDG5 are classified as tier two (methodology exists, data not easily available) or tier three (methodology needs to be developed).
However, there still exists data loss problem in this scheme when systems reach a great scale.
When there exists data overload, one of the two mechanisms is executed to settle the overload by either improving system throughput or shedding data load.
There also exists data loss during data gathering of upper computer in this scheme when systems reach a great scale.
Sometimes there exists data gaps which can occur due to many reasons, such as power failure, malfunctioning in the radar, considering significant echoes only (SNR ≥ −12 dB), etc.
In Algorithm 5, the Discovery and Elimination Scheme is run as long as there exists data transmission during the maintenance, for the purpose of protecting the cluster communication.
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Furthermore, there does not exist data for non-OECD countries, above all the Eastern European countries.
This is why distributed storage and processing frameworks like Hadoop exist — data in the cloud is far more scalable than data in a silo.
The existed data were programmed to be mapped and stored to the updated databases.
Where gaps existed, data were then checked with the paper or electronic record.
In practice noise exists in data.
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