Regression Analysis for profiling L-Store metadata throughput handling

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Objective

As part of some of the initial testing with L-Store these tests are attempting to create a base reference model for meta data handling with L-Store. Specifically we are interested in seeing that as we increase from very small file sizes to large file sizes whether the latency profile is a linear fit or a non-linear fit.

Parameters

1. File Size: 1KB, 500KB, 1MB, 50 MB, 100MB, 150MB, 200MB, 250MB

2. Number of Files: 30 files

3. Number of threads: 10 threads

Results

  • Number of Threads: 10
  • Number of Files : 30
  • Current Status: In progress
  • Time of Completion:


Type of Test Number of files Average File Size (MB) Average Latency (sec) Median Latency (sec) Maximum Latency (sec) Std Deviation on Latency
small_upload 30 0.001 2.8 2.7 11.0 0.63
med_upload 30 0.5 3.0 3.0 10.0 0.45
large_upload 30 250.0 27.0 27.0 47.0 1.2