Auto-scaling in
Virtualized and Native Network Functions |
<< TO BE
UPDATED, PLEASE VISIT AGAIN >> |
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My contribution in this project has been named:
IRONMAN-BRAIN, which is a modular and intelligent
autoscaling system that leverages reinforcement learning to
enable proactive and adaptive scaling of Virtualized and
Cloud-Native Network Functions. The IRONMAN-BRAIN a Deep
Q-Neural Newtork to make autoscaling decisions within
Service Function Chains (SFCs) deployed accross OpenStack
and Kubernetes platform. Integration with Open Source Mano
(OSM) facilitates lifecycle management, while SDN components
such as OpenDaylight and Open vSwitch provide programmable
control of the network infraestructure [1]. |
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Some projects
in this field where I have been working on: |
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Advanced
framework for secure end-to-end management of virtualised
networks and provision of cybersecurity services as a
Service |
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Deep Q-Neural
network implemented for proactive and adaptive
scaling of virtualized and cloud- native network funtions
[1] |
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Artificial neural unit with ReLU activation function
implemented in the Deep Q-Neural network |
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References: |
[1]
Advanced framework for secure end-to-end management of
virtualised networks and provision of cybersecurity services
as a Service, project founded by
IRONTEC,INTERNET Y SISTEMAS SOBRE GNU/LINUX
IRONTEC, Regional. |
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