We are very happy to announce that the very first version of our project’s datasets are available on Zenodo and Github Open Access Platforms.
In the deliverable Deliverable 5.1 ‘Runtime Environment 1’, the RADON team provides a technical overview of the tools that comprise the Runtime Environment within this H2020 funded project.
The Joint CSE/QUDOS Workshop 2020 is organized and technically sponsored by the Research Group (RG) and the DevOps Performance Working Group of the Standard Performance Evaluation Corporation (SPEC RG), and by RADON’S consortium.
The Deliverable D4.5 ‘Graphical Modelling Tool’ (version I) presents the initial results of the Graphical Modeling Tool (GMT) development and furthermore relates with the previous deliverables, D2.1 ‘Initial requirements and baselines’ and D4.3 ‘RADON Models I’.
We have tracked down some significant events for this year that hopefully we will be able to attend as a project.
Our team presents an initial version of RADON modeling approach consisting of abstract and deployable entity modeling layers that comprise a set of abstract and technology-specific modeling constructs addressing the RADON modeling challenges.
Today, the profitability of industrial processes depends on the well-timed utilization of new technologies.
Today, the profitability of industrial processes depends on the well-timed utilization of new technologies.
Infrastructure-as-code (IaC) is the DevOps tactic of managing and provisioning infrastructure through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools.
Nowadays, estimating performance models parameters of cloud systems presents several challenges.
The Joint CSE/QUDOS Workshop 2020 is organized and technically sponsored by the Research Group (RG) and the DevOps Performance Working Group of the Standard Performance Evaluation Corporation (SPEC RG), and by RADON’S consortium.
We have tracked down some significant events for this year that hopefully we will be able to attend as a project.
We are very excited to announce that our project will participate in Continuous Delivery Conferences 2019 (CoDe-CONF), held in Copenhagen, on October the 28th 2019.
We are very proud to announce that our Project Coordinator Dr. Giuliano Casale, academic in the Department of Computing at…
The Continuous Delivery and DevOps Conference in Scandinavia (CoDe-Conf 2019) will be held on the 28th of October, 2019, in…
The 20th International Conference on Product-Focused Software Process Improvement (Profes 2019) will be held in Barcelona, Catalunya, Spain on November…
We are very happy to announce that the very first version of our project’s datasets are available on Zenodo and Github Open Access Platforms.
In the deliverable Deliverable 5.1 ‘Runtime Environment 1’, the RADON team provides a technical overview of the tools that comprise the Runtime Environment within this H2020 funded project.
The Deliverable D4.5 ‘Graphical Modelling Tool’ (version I) presents the initial results of the Graphical Modeling Tool (GMT) development and furthermore relates with the previous deliverables, D2.1 ‘Initial requirements and baselines’ and D4.3 ‘RADON Models I’.
Our team presents an initial version of RADON modeling approach consisting of abstract and deployable entity modeling layers that comprise a set of abstract and technology-specific modeling constructs addressing the RADON modeling challenges.
Today, the profitability of industrial processes depends on the well-timed utilization of new technologies.
Today, the profitability of industrial processes depends on the well-timed utilization of new technologies.
Infrastructure-as-code (IaC) is the DevOps tactic of managing and provisioning infrastructure through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools.
Nowadays, estimating performance models parameters of cloud systems presents several challenges.
Microservices based architectures are increasingly widespread in the cloud software industry.
In recent years, a plethora of deployment technologies evolved, many of which were following a declarative approach to automate the delivery of software components. Even if such technologies share the same purpose, they differ in features and supported mechanisms.