CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
Technical description of the selected CI/CD environment including the chosen code quality and security tools. This further includes the description of the configuration of quality gates preventing poor quality or insecure code from being built.
Use Case Requirements (opens in new window)A list of the selected use cases and a detailed inventory of requirements for each application use case of the DECICE framework that covers hardware specifications (e.g. networking, storage, computinge) and performance demands.
Specification of the Optimization Scope (opens in new window)A detailed technical description of the system characteristics and metrics necessary for the scheduler and the supported user-requirements for job/workload.
AI-Scheduler Prototypes for Storage and Compute (opens in new window)Individual prototypes of the two AI-schedulers for storage and compute are implemented and are ready for use in the synthetic training environment.
Dissemination & Communication Plan (opens in new window)This deliverable will be focused on informing the broad audience on the project’s goals and activities, and raising awareness on its results. To achieve this, DECICE will lay out the target stakeholders as well as the means to reach them. This will be updated in M18 for adjusting the plan to the requirements of the project and new opportunities and challenges. The plan will lay out the various activities which will seek to encourage stakeholders to use and uptake the AI-techniques and models developed by the project for further research or commercial activities.
Integration of Monitoring Framework (opens in new window)This deliverable contains the software components, technical descriptions and documentation for the monitoring framework.
Project Handbook (opens in new window)This document provides an overview of management and administrative procedures that are in place to guarantee the quality of project results and efficient teamwork. Key aspects of these procedures and standards are discussed and agreed upon during the kick-off general assembly. This includes a description of the collaborative environment, how to organize material, a FAQ for typical questions of project partners, and plans for quality assurance, technical integration, risk management, communication and dissemination. For example, the QA and risk management plan defines guidelines, procedures, and checklists to be followed for project specific documentation, criteria for the reviews, communication, innovation potential, progress and impact indicators, and contingency plans. The plan also includes assigned deliverable and milestone review teams and documents the potential and emerged risks. Throughout the project, the project handbook will be constantly updated.
Development Environment Specification (opens in new window)A detailed technical specification of the necessary hardware and software to create a development environment for the DECICE framework as well as the definition of performance metrics for evaluation.
Online and Media Presence (opens in new window)This deliverable will present information on the development of the project website, the utilized social media channels and project newsletter.
Data Management Plan (opens in new window)The first version of the DMP is based on the Horizon Europe guidelines. It ensures that created data and research results are findable, accessible, interoperable and reusable (FAIR). It covers the handling of data during and after the project: the generated, collected and processed data, the procedures and standards applied, the restrictions on data, and the data curation and preservation. The DMP will be periodically updated similarly to the project handbook.
A project development environment is deployed for Phase 1 (one site) and Phase 2 (2 sites) with access for all project members to enable performance evaluations.
This deliverable contains the code and documentation for the synthetic test environment as defined in T3.5 that allows the training of the ML-models from WP2. Slight adaptations may be necessary after the initial version while the overall system architecture is not yet finalized. It also contains a description of the architecture.
Digital Twin (opens in new window)Core of this deliverable is the implementation of the digital twin and the corresponding interfaces, including the integration of the Telemetry API and the interface to the AI-schedulers.
Publications
Author(s):
Julian Martin Kunkel; Christian Boehme; Jonathan Decker; Fabrizio Magugliani; Dirk Pleiter; Bastian Koller; Karthee Sivalingam; Sabri Pllana; Alexander Nikolov; Mujdat Soyturk; Christian Racca; Andrea Bartolini; Adrian Tate; Berkay Yaman
Published in:
Crossref, 2023, ISBN 9798400701405
Publisher:
Association for Computing Machinery
DOI:
10.48550/arxiv.2305.02697
Author(s):
Borghesi, Andrea; Di Santi, Carmine; Molan, Martin; Seyedkazemi Ardebili, Mohsen; Mauri, Alessio; Guarrasi, Massimiliano; Galetti, Daniela; Cestari, Mirko; Barchi, Francesco; BENINI, LUCA; Beneventi, Francesco; Bartolini, Andrea
Published in:
Scientific Data, Vol 10, Iss 1, Pp 1-10 (2023), 2023, ISSN 2052-4463
Publisher:
Nature
DOI:
10.3929/ethz-b-000614369
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