The aeriOS Benchmarking tool provides the measurement of IEs performance (CPU/RAM processing and bandwidth of network interfaces); and the calculation of some technical KPIs

The aeriOS Entrypoint Balancer distributes the orchestration requests received from the Management Portal among the different High-Level Orchestrator (HLO) instances deployed in the aeriOS domains

aeriOS Identity Manager (IdM) based on Keycloak and LDAP

aeriOS Management Portal backend

A local controller that must be deployed in each IE that uses Docker as its container management framework to handle and execute the actions requested by the LLO Docker Operator, which is deployed in a K8s cluster

Repository to host various resources related to the aeriOS project, including Docker Compose files, Helm charts and more installation resources

Data aggregator component of the aeriOS High-Level Orchestrator (HLO)

(Re)Allocator component of the aeriOS High-Level Orchestrator (HLO)

This component from the aeriOS Self-* toolsuite is responsible for analysing the IEs states in order to propose possible optimizations within the system

This component from the aeriOS Self-* toolsuite is capable of managing facts, rules and alerts to send warnings about problems in an IE to the aeriOS EAT

This component from the aeriOS Self-* toolsuite analyses and obtains information from a computing node, continuously monitoring its health status and workload

Initializes IOTA tangle peering between the K8s nodes of an aeriOS K8s domain

AI Explainability Service for Task Allocation Models, specially focused on the aeriOS High-Level Orchestrator (HLO) models

K8s Operator developed using Operator-SDK to deploy service components in Infrastructure Elements of Docker type

Middleware component for K8s integration

K8s Operator developed using Operator-SDK to deploy service components in Infrastructure Elements of Kubernetes type

Required files and configurations to bootstrap and operate an IOTA Tangle for trustworthiness management in aeriOS

This component from the aeriOS Self-* toolsuite checks network interfaces and analyses traffic to detect possible security threats

This component from the aeriOS Self-* is able to horizontally scale (up or down) the resources devoted to a specific service (inside a node) in a dynamic fashion, based on time series inference and custom logic

EAT provides a framework for the design, implementation, and deployment of specialised functions following a FaaS model.