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LESS: Logging Exploiting SnapShot

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The in-memory key-value store provides a persistence method to ensure data durability. The currently provided methods are either to create a snapshot file of a current dataset or to write the log of the performed command in the log file. However, the snapshot method has a risk of data loss and append only logging method cause a system failure due to an increase in log file size. To prevent excessive AOF file size growth, the in-memory key-value store provides a reconstruction method, but also a performance degradation and excessive memory usage occur. In this paper, we propose a new persistence method for effective memory usage and throughput. The new approach is called Logging Exploiting SnapShot (LESS). LESS is a method that combines the advantages of a snapshot using low memory usage and the benefits of an append only logging method that guarantees data persistence. We implemented LESS on Redis and conducted experiments. A benchmark test demonstrated that the proposed approach reduces the maximum memory usage by 57% and it is 2.7 times faster than the original approach. Overall, the experimental results showed that LESS is effective for Redis.
Title: LESS: Logging Exploiting SnapShot
Description:
The in-memory key-value store provides a persistence method to ensure data durability.
The currently provided methods are either to create a snapshot file of a current dataset or to write the log of the performed command in the log file.
However, the snapshot method has a risk of data loss and append only logging method cause a system failure due to an increase in log file size.
To prevent excessive AOF file size growth, the in-memory key-value store provides a reconstruction method, but also a performance degradation and excessive memory usage occur.
In this paper, we propose a new persistence method for effective memory usage and throughput.
The new approach is called Logging Exploiting SnapShot (LESS).
LESS is a method that combines the advantages of a snapshot using low memory usage and the benefits of an append only logging method that guarantees data persistence.
We implemented LESS on Redis and conducted experiments.
A benchmark test demonstrated that the proposed approach reduces the maximum memory usage by 57% and it is 2.
7 times faster than the original approach.
Overall, the experimental results showed that LESS is effective for Redis.

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