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This project helps in determining the possible time when context switching is high and process queue is big. One can filter the process process running at the returned times and determine debug architecture.

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Akshattekriwal01/Anomaly_context_switching

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Anomaly Detection with Context Switching.

Primary Goal- Use www.platform.clearblade.com for data collection and analytics over MQTT protocol and mimic and IoT device.

Secondary Goal- It helps in determining the possible time when context switching is high and the process queue is big. One can filter the process process running at the returned times and determine debug architecture.

Video Walkthrough - https://youtu.be/-PBtGxhq5Mo

File Description.

File Name Description
os_module.py This is the python client for collecting context switching data and sending it over to the clearblade platformat every 3 seconds using MQTT
analytics.js Analyzes anomaly detection and published the data on topic "analytics" over MQTT
analize.ipynb Listens for data published on "analytics" and plots it.
collection.js Listens for incoming data on topic "data_collection" and stores the data in a collection
config.json Stores configuration variables.

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This project helps in determining the possible time when context switching is high and process queue is big. One can filter the process process running at the returned times and determine debug architecture.

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