AI Explainability Service for Task Allocation Models, specially focused on the aeriOS High-Level Orchestrator (HLO) models
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Updated
Jan 22, 2026 - Python
AI Explainability Service for Task Allocation Models, specially focused on the aeriOS High-Level Orchestrator (HLO) models
EAT provides a framework for the design, implementation, and deployment of specialised functions following a FaaS model.
(Re)Allocator component of the aeriOS High-Level Orchestrator (HLO)
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
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
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
Data aggregator component of the aeriOS High-Level Orchestrator (HLO)
REST API to insert messages into an IOTA Tangle
This component from the aeriOS Self-* toolsuite crystallizes the capability of autonomously recovering affected parts of the system at both hardware and software levels caused by failures or abnormal states
K8s Operator developed using Operator-SDK to deploy service components in Infrastructure Elements of Docker type
API Gateway for the aeriOS Self-* toolsuite
The aeriOS Federator serves as a management service responsible for controlling the establishment and maintenance of federation mechanisms among the multiple aeriOS domains that form the Cloud-Edge-IoT continuum
Overlay network to interconnect deployed aeriOS service components across multiple Infrastructure Elements
Frontend component of the aeriOS High-Level Orchestrator (HLO)
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
This component from the aeriOS Self-* toolsuite is responsible for analysing the IEs states in order to propose possible optimizations within the system
K8s Operator developed using Operator-SDK to deploy service components in Infrastructure Elements of Kubernetes type
This component from the aeriOS Self-* toolsuite checks network interfaces and analyses traffic to detect possible security threats
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