Result description
The SmartIDE provides inputs for the model-driven deployment of complex applications and concepts in plan supported by IDE, a shareable knowledge base and a semantic reasoner API. It supports the specification of infrastructure resources, application deployments, and their tuning for performance optimization. Refactored application deployments are also managed. This KER is addressing the problem of complex deployment model on heterogeneous infrastructures (too many considerations to be taken into account) without further assistance based on previous experiences. It provides an DSL editor (textual and graphical) to develop complex application deployment models, a reasoner to provide recommendations/validations, and a TOSCA application deployment model.
Addressing target audiences and expressing needs
- Collaboration
- Fellowship to advance my/our research
Partners working in similar fields of expertise to expand and upgrade our research results.
- Research and Technology Organisations
- Academia/ Universities
- Private Investors
R&D, Technology and Innovation aspects
Currently the SmartIDE constitutes an Integrated Development Environment (IDE) that assists that assists AEs, REs and QEs in the authoring lifecycle of Abstract Application Deployment models (AADMs), Resource Models (RMs), Optimization Models(OMs) and Ansible Models (AMs) , as well as on the management of application deployments’ lifecycle. The intelligence of IDE primarily relies on the Semantic Reasoner API that provides knowledge-based reasoning driven results. With the current implementation, the corresponding Experts can author AADMs, RMs, by getting validation and intelligent recommendations during design time. QEs can also author their optimisation model for target application components and be assisted by recommendations. During 2021, the work is focusing on more advanced content assistance, validation services, and abstraction of the DSL so as to further simplify the model authoring. Also, for better performance of the application, there will be support during the runtime by providing suggestions to the user regarding alternative deployment variants.
The technology is scalable by design, based on well-established technology.
The SODALITE technology is based on open source technologies and custom developments. It is being already tested in 3 use cases. The replication difficulty lies on the data acquisition options and configuration to the applications it will focus on. However, the business model includes tools and specific features (e.g., training, consultancy) for covering those.
The SODALITE consortium is making available the full-stack technology over five layers that are led and maintained by a subset of partners that are its IP owners and will extend those technologies to commercial solutions or further research pathways.
- Global
