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About DECICE
DECICE aims to develop an AI-based, open and portable cloud management framework for automatic and adaptive optimization and deployment of applications in a federated infrastructure, including computing from the very large (e.g., HPC systems) to the very small (e.g., IoT sensors connected on the edge).
Working at such vastly different scales requires an intelligent management plane with advanced capabilities that allow it to proactively adjust workloads within the system based on their needs, such as latency, compute power and power consumption. Therefore, we envision an AI-model, which can use a digital twin of the resources available, to make real-time scheduling decisions based on telemetry data from the resources.
The DECICE framework will be able to dynamically balance different workloads, optimize the throughput and latency of the system resources (compute, storage, and network) regarding performance and energy efficiency and quickly adapt to changing conditions.
The framework also gives the necessary tools and interfaces for the administrators and deployment experts to interface with all the infrastructure components and control them to achieve the desired result. The integration of the DECICE framework with orchestration systems will be done through open standard APIs to make it portable, modular and extensible
Last but not least any planned clustering activities such as trainings, workshops and webinars will be held in close cooperation with OEHI .
EDGE CLOUD DATA CENTERS KUBERNETES FRAMEWORK HETEROGENOUS SYSTEMS HPC IoT DIGITAL TWIN AI-SCHEDULING MACHINE LEARNING DEEP LEARNING SYSTEM MONITORING |
DECICE Objectives






News
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E4 Computer Engineering is a Partner of the DECICE project Consortium. In September 2023, participation in two important national-level events…

Over the course of three days, DECICE hosted an intensive hands-on workshop for partners collaborating on an EU research project.…

E4 Computer Engineering is a Partner of the DECICE project Consortium. In September 2023, participation in two important national-level events was…

We are pleased to report that the first DECICE Project Newsletter has been sent out to the subscribers. DECICE newsletters will be created…

This proof-of-concept setup provides a working example of the integration of an external scheduler with Kubernetes and Prometheus. This setup…

Some time has passed since the first presentation of the DECICE framework architecture and with continuous progression of the project,…
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E4 Computer Engineering is a Partner of the DECICE project Consortium. In September 2023, participation in two important national-level events…
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A look at the DECICE main features
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Clara Donald
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