Skip to content

Analysis about high message loss in experminental data

Notifications You must be signed in to change notification settings

MyTooliT/Data-Loss-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 

Repository files navigation

Data Loss Analysis

Description

Determine possible reason behind data loss of about 60% using MQTTronic

Debugging

Running Example Measurement on Local Machine

Requirements

Execution

python3 measure.py && icoanalyzer experiment.hdf5

Results

First Version

Data loss (as reported by icoanalyzer) (commit b7daa140):

OS 1. Attempt 2. Attempt 3. Attempt
macOS 0 % 0 % 0 %
Linux 0.29 % 0.27 % 0.56 %
Second Version

Data loss (as reported by icoanalyzer) (commit 3ccd825d):

OS 1. Attempt 2. Attempt 3. Attempt
macOS 0 % 0 % 0 %
Linux 0.46 % 0.03 % 1.08 %
Third Version
  • Collect data for a longer time (three minutes instead of 10 seconds) (commit 9530a279)
OS 1. Attempt 2. Attempt 3. Attempt
macOS 33.09 % Error (CAN Controller Read Too Late) 33.68 % (CAN Controller Read Too Late)
Linux 33.93 % 34.07 % 33.43 %
Fourth Version
  • Collect data for an even longer time (10 minutes) (commit b26b447d)
OS 1. Attempt 2. Attempt 3. Attempt
Linux 33.72 % 33.81 % 33.68 %
Fifth Version
  • Collect data for 10 minutes
  • Decrease sample rate (1681 Hz)
  • Commit 4a33699e
OS 1. Attempt 2. Attempt 3. Attempt
Linux 0.02 % 0.03 % 0.03 %
macOS 0.0 % 0.0 % 0.0 %

About

Analysis about high message loss in experminental data

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages