SYSTOR '21: Proceedings of the 14th ACM International Conference on Systems and Storage - June 2021 - Article No.: 23 - Pages 1
HPC Application Optimisation in SODALITE
TSOS21: First workshop on trustworthy software and open source, March 23-25, 2021, Virtual Conference
A Smart Development Environment for Infrastructure as Code
Journal of Grid Computing volume 19, Article number: 29 (2021)
SODALITE@RT: Orchestrating Applications on Cloud-Edge Infrastructures
4th Special Session on High-Performance Services Computing and Internet Technologies (@HPCS2020)
A Pattern-based Semantic Lifting of Cloud and HPC Applications using OWL 2 Meta-modelling
Journal Information and Software Technology Volume 127, November 2020, 106376
Cloud applications monitoring: An industrial study
ScienceDirect - Information and Software Technology Volume 137, September 2021, 106593
The do’s and don’ts of infrastructure code: A systematic gray literature review
ACM Transactions on Software Engineering and MethodologyVolume 30Issue
1 January 2021 Article No.: 1pp 1–30
StreamGen: Model-Driven Development of Distributed Streaming Applications
The Vehicle IoT use case builds on ADTP’s KnowGo Car data management and services platform for connected vehicles.
Use case: Vehice IOT
In this deliverable, we report on the implementation progress in the second year of the project, its culmination in the second prototype of the SODALITE platform, and the evaluation of the release through a combination of technical KPI assessment and validation by the project’s three demonstratin
D6.3 Intermediate Implementation and Evaluation of the SODALITE Platform and Use Cases
The SODALITE Framework is the software system that includes all SODALITE stable components. This deliverable includes the description of the software that makes up the SODALITE stack, while the actual software is available through the GitHub SODALITE repository (https://github.com/SODALITE-EU).
D6.6 SODALITE Framework - Second Version
This deliverable reports on the status of the development, at M24, of the SODALITE Runtime Layer and the integration of its components with the rest of the SODALITE platform. This is the second of three deliverables in this series, to be released annually during the project lifetime.
D5.2 Application deployment and dynamic runtime - Intermediate version
The purpose of this deliverable is to present the status of the IaC Management Layer at the end of the second year of the SODALITE project.
D4.2 IaC Management - Intermediate version
This deliverable is the continuation of deliverable D2.1 and provides the consolidated evolution of requirements, KPIs, evaluation plan and architecture over the second year.
D2.2 Requirements, KPIs, evaluation plan and architecture - Intermediate version
Artificial Intelligence (AI) applications based on Deep Neural Networks (DNN) or Deep Learning (DL) have become popular due to their success in solving problems likeimage analysis and speech recognition.