This component develops techniques to classify the profile of nodes in a Cloud-IoT infrastructure and correspondingly generate requirements to reduce the energy consumed by MSAs deployed on such infrastructure. In addition, the relationship between an MSA components, based on the connections/functional dependencies between microservices and the information on the data they exchange, are considered in the analysis to provide information about microservice coplacement to the solver.
- Components: Logical units in charge of different tasks inside the tool
- Input Files: Contains the inputs files needed for this tool
- Output Files: Contains the outputs generated from this tool
- Images: Graphical assets used for this readme.
- Infrastructure: The organizational structure of the nodes, includes information like the topology and the resources of each node.
- Node: The physical entity where we deploy one or more of our services.
- Service: Fundamental entity that offers a functionality. When talking about services we will be referring to a microservice deployed on a node.
- Flavour: The typology of a service. Can range from small to large. A small service will use less resources than its large counterpart.
- Energy mix: Combination of different energy resources to meet the energy needs of a node. The mix includes renewable and non renewable resources.
- Deployment: Includes the information about the disposition of each service in which flavour on which node.
python -m venv .venv
source ./.venv/bin/activate # or equivalent in other OS
pip install -r requirements.txtpython .\EnergyAnalyzer [--region {eu,us}] [--keep]Optional: --region {eu,us} / -r
- Indicates the geographical region used for the infrastructure and the deployment.
- Defaults to eu
Optional: --keep / -k:
- Indicates whether to keep or not the knowledge base. The knowledge base should be cleared when changing infrastructure. Defaults to not keeping
Starting from Monitoring Metrics generates the consumption of each service and connection
Generates the constraints that will be provided as output, starting from the consumptions
Supporting module that provides the energy mix of the nodes
Holds useful information gathered from previous iterations
Updates the memory of the current knowledge base and enriches the current constraints with relevant past ones
Creates an internal ranking of constraints based on the amount of energy consumption they help decrease
Formats the output for the consumption of future components
Component responsible for generating the Explanability Report, giving an human readable explanation for the constraints generated