Regression Analysis for profiling L-Store metadata throughput handling: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
|||
| Line 17: | Line 17: | ||
* Current Status: In progress | * Current Status: In progress | ||
* Time of Completion: | * Time of Completion: | ||
{| class="wikitable" style="text-align:center" | |||
|- | |||
!bgcolor=red | <font color=white> Type of Test || bgcolor=blue | <font color=white> Number of files || bgcolor=grey | <font color=white> Average File Size (MB) || bgcolor=grey | <font color=white> Average Latency (sec) || bgcolor=grey | <font color=white> Median Latency (sec) || bgcolor=grey | <font color=white> Maximum Latency (sec) || bgcolor=grey | <font color=white> Std Deviation on Latency | |||
|- | |||
!bgcolor=red | <font color=white>small_upload|| bgcolor=blue | <font color=white>30|| bgcolor=grey | <font color=white>0.001|| bgcolor=grey | <font color=white>2.8|| bgcolor=grey | <font color=white>2.7|| bgcolor=grey | <font color=white>11.0|| bgcolor=grey | <font color=white>0.63 | |||
|- | |||
|} | |||
Revision as of 10:37, 22 June 2006
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 |