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.
Optimising AI Training Deployments using Graph Compilers and Containers
Deep Leaning and code embedding based approach to linguistic detecting anti-patterns in Infrastructure as code. This is from SODALITE smell and defect prediction task.
DeepIaC: Deep Learning-based Linguistic Anti-Pattern Detection for Infrastructure-as-Code
Deep Leaning and code embedding based approach to linguistic detecting anti-patterns in Infrastructure as code. This is from SODALITE smell and defect prediction task.
DeepIaC: Deep Learning-based Linguistic Anti-Pattern Detection for Infrastructure-as-Code
This document provides a wide view of the extent of communication and dissemination strategy of SODALITE, during 36 months of the project duration.
D7.1 Web presence, branding and communication guidelines
The SODALITE architecture is divided into 3 main layers: Modelling layer, Infrastructure as Code layer, and Runtime layer. This document summarizes the available stable components in each of these layers, and points to instructions on how these components can be accessed and built.
D6.5 SODALITE framework - First version
This deliverable reports on the development status after M12 of the SODALITE Runtime Layer and the integration of its components with the rest of the SODALITE platform.
D5.1 application deployment and dynamic runtime Initial version
This deliverable presents the status of development of the Infrastructure as Code (IaC) layer within the SODALITE platform, as well as the integration with other components and tools in SODALITE platform at the end of the first year of the project.
D4.1 IaC Management initial version
The present deliverable reports on the work carried out within T3.1 “Application Semantic Modelling” and T3.2 “Infrastructure Semantic Modelling”, relevant to the development of the SODALITE ontologies (abstraction layer) and the representation and mapping of cloud applications and infrastructures to ontological entities.
D3.1 First version of ontologies and semantic repository
This document sets some rules and guidelines on how contributors can support the development of the SODALITE platform, how the SODALITE software is organized in various related open source repositories, and the practical procedures to be used to propose changes and to see them accepted by the SODALITE team.
D2.4 Guidelines for contributors to the SODALITE framework
Journal of 2020 IEEE International Conference on Software Architecture (ICSA)
pp. 103-113
COCOS: a Scalable Architecture for Containerized Heterogeneous Systems
10th International Conference on Web Intelligence, Mining and Semantics (WIMS)
Towards Semantic Detection of Smells in Cloud Infrastructure Code
IIn this deliverable, we report on our key contributions towards the implementation and evaluation of the SODALITE platform and use cases. Whereas Deliverable D6.1 paved the way in M6 for the SODALITE platform by detailing the overall implementation plan and roadmap, we now report on the current status of implementation up to M12.
D6.2 Initial implementation and evaluation of the SODALITE platform and use cases
This deliverable presents the time plan for the development of the SODALITE platform, as well as the implementation plan of the project´s use cases.
D6.1 SODALITE platform and use cases implementation plan
In this deliverable, we report on our key contributions towards the implementation and evaluation
of the SODALITE platform and use cases. Whereas Deliverable D6.1 paved the way in M6 for the
SODALITE platform by detailing the overall implementation plan and roadmap, we now report on
the current status of implementation up to M12.
D6.2 Initial implementation and evaluation of the SODALITE platform and use cases
This deliverable presents the time plan for the development of the SODALITE platform, as well as
the implementation plan of the project’s use cases.
D6.1 SODALITE platform and use cases implementation plan
This deliverable reports on the progress of the SODALITE project in developing a model for application and infrastructure performance.
D3.3 Prototype of application and infrastructure performance models
The UML use cases and the architecture presented in this deliverable have been defined with the contribution of all partners in the project and constitute the main guidelines that will steer the work in the technical work packages during the first iteration in the project.
D2.1 Requirements, KPIs, evaluation plan and architecture - First version
Journal of Software: Practice and Experience
Volume49, Issue5, May 2019
Pages 813-839
SDSN@RT: A middleware environment for single-instance multi tenant cloud application
2019 IEEE International Conference on Services Computing (SCC) in Milan (Italy)
FM4SN: A Feature-Oriented Approach to Tenant-Driven Customization of Multi-Tenant Service Networks
2019 IEEE International Congress on Big Data (BigDataCongress) in Milan (Italy).
AIOps for a Cloud Object Storage Service
IEEE International Conference on Cloud Networking, 4-6 November 2019 in Coimbra (Portugal).
A Case for Data Centre Traffic Management on Software Programmable Ethernet Switches
2019 IEEE International Congress on Big Data (BigDataCongress), pp. 85-92. IEEE, 2019 in Milan (Italy).