We are very happy to announce that our project partner, the University of Tartu just released a video presenting the RADON Data Pipeline Tool.
The RADON Webinar 1 ‘Introduction to RADON and TOSCA’ is now available online!
Avritzer, A., Ferme, V., Janes, A., Russo, B., van Hoorn, A., Schulz, H., Menaschรฉ, D. S., and, Rufino, V. introduce an approach for using operational profiles to generate load tests to automatically assess scalability pass/fail criteria of microservice configuration alternatives.
We are very happy to announce that our Project Coordinator, the Imperial College London just released a video presenting the RADON Verification Tool.
We are very happy to announce that our partner Jheronimus Academy of Data Science (JADS) just released a video presenting the RADON Defect Prediction Tool.
Schulz, H., Okanovic, H., van Hoorn, and A., Tuma, P propose an integrated framework for generating load tests tailored to the context of interest, which a user can describe in a language they provide.
We are very happy to announce that our Project Coordinator, the Imperial College London just released a video presenting the RADON Decomposition Tool.
When modeling a deployment for a cloud application, there are many things to consider, like different cloud providers and infrastructure requirements, different architectural styles, and different deployment technologies and languages.
M. Adhikari, S. N. Srirama and T. Amgoth introduce an optimal application offloading strategy in the hierarchical fog-cloud environment using the accelerated particle swarm optimization (APSO) technique.
M. Adhikari, M. Mukherjee, and S. N. Srirama design a new delay-dependent priority-aware task offloading (DPTO) strategy for scheduling and processing the tasks, generated from the IoT devices to suitable computing devices.
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 our project partner, the University of Tartu just released a video presenting the RADON Data Pipeline Tool.
The RADON Webinar 1 ‘Introduction to RADON and TOSCA’ is now available online!
Avritzer, A., Ferme, V., Janes, A., Russo, B., van Hoorn, A., Schulz, H., Menaschรฉ, D. S., and, Rufino, V. introduce an approach for using operational profiles to generate load tests to automatically assess scalability pass/fail criteria of microservice configuration alternatives.
We are very happy to announce that our Project Coordinator, the Imperial College London just released a video presenting the RADON Verification Tool.
We are very happy to announce that our partner Jheronimus Academy of Data Science (JADS) just released a video presenting the RADON Defect Prediction Tool.
Schulz, H., Okanovic, H., van Hoorn, and A., Tuma, P propose an integrated framework for generating load tests tailored to the context of interest, which a user can describe in a language they provide.
We are very happy to announce that our Project Coordinator, the Imperial College London just released a video presenting the RADON Decomposition Tool.
When modeling a deployment for a cloud application, there are many things to consider, like different cloud providers and infrastructure requirements, different architectural styles, and different deployment technologies and languages.
M. Adhikari, S. N. Srirama and T. Amgoth introduce an optimal application offloading strategy in the hierarchical fog-cloud environment using the accelerated particle swarm optimization (APSO) technique.
M. Adhikari, M. Mukherjee, and S. N. Srirama design a new delay-dependent priority-aware task offloading (DPTO) strategy for scheduling and processing the tasks, generated from the IoT devices to suitable computing devices.