A carbon emission and power source aware fog computing simulator built extending the capabilities of LEAF
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Updated
May 4, 2024 - Python
A carbon emission and power source aware fog computing simulator built extending the capabilities of LEAF
Simulated Testbed for Edge-Fog Processes based on the ONE simulator
Container-based Support for Autonomic Data Strem Processing through the Fog
An Arduino-written application to control your Node MCU
This code initializes ESP-NOW to receive motion sensor data from a sender, then forwards it to an MQTT broker via MQTT protocol. Data can be sent to multiple destinations like a dashboard or a database for visualization.
Custom Kubernetes Scheduler using NSGA-III and TOPSIS for Edge Environment
Source code for "Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks"
This is the Prototype we created together with Dimitris Dimopoulos for our Diploma Thesis which can be found here in the diplo folder
Sensing and Actuation service for Raspberry Pi with Python.
A web application created for the Services in Cloud and Fog Computing course at the Technical University of Crete.
TOSCA Service Templates for Dynamic Deployment of different Fog Computing Services using xOpera OASIS TOSCA compliant orchestrator.
A study on classification and clustering algorithms for 5g latency reduction
Kubernetes for Fog Computing - special assignment course (5 credits)
Periodically logs system parameters in the background transparently to create a data-set to be later used for finding an optimal computation node in a fog network
A Cloud/Fog application for the course of SDCC
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