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 ability to fulfill the resource demand in runtime is encouraging businesses to migrate to the cloud. Recently, to provide real-time cloud services and to save network resources, fog computing is introduced.
C. Kumar Dehury and S. Narayana Srirama propose a novel deep reinforcement learning-based service dispersal approach for fog and cloud computing (DRLSD-FC) that is adopted for offering the service using both environments simultaneously.
The authors propose a novel data pipeline architecture for a serverless platform for providing an environment to develop applications that can be broken into independently deployable, schedulable, scalable, and reusable modules and efficiently manage the flow of data between different environments.
This paper introduces an efficient and novel data pipeline architecture, named CCoDaMiC (Coherent Coordination of Data Migration and Computation), which brings both the data migration operation and its computation together into one place.
Our project’s official White Paper ‘From zero to Serverless: The RADON approach’ is officially published!
Satish Narayana Srirama, Mainak Adhikari, and Souvik Paulย propose a new container-aware application scheduling strategy with an auto-scaling policy.
Stefano Dalla Palma, Dario Di Nucci, and Damian A. Tamburri present AnsibleMetrics, a Python-based static source code measurement tool to characterize Infrastructure-as-Code.
Together with QORE Lab, we are organising on May 17th, 16:00 โ 17:30 EEST, a free workshop on how to deploy and orchestrate serverless applications in the cloud using open source tools!
Earlier this month, we had the amazing opportunity to join this year’s 12th ACM/SPEC International Conference of Performance Engineering ( ICPE 2021)!
Our Project Coordinator, Dr. Giuliano Casale will be presenting our project and its technical outcomes, during the session โRADON: DevOps for Serverless-Computingโ.
We would like to invite you to the workshop โServerless applications with the RADON frameworkโ that our project partner Eficode organises on March 3rd at 16.00 CET!
We would like to invite you to the webinar that our project organises with Eficode, on November 19th at 1.00 pm CET.ย
Last week on July 2nd, Andrรฉ van Hoorn (University of Stuttgart) and his RADON colleagues Alim U. Gias, Lulai Zhu, Giuliano Casale (Imperial College London), and Thomas F. Dรผllmann and Michael Wurster (University of Stuttgart) ran a half-day tutorial on โPerformance Engineering for Microservices and Serverless Applications: The RADON Approachโ.
Theย Joint CSE/QUDOS Workshop 2020 – 5th Workshop on Continuous Software Engineering and the 6th International Workshop on Quality-Aware DevOps โย will be hosted virtuallyย due to the COVID-19 pandemic, on September 15th, 2020.
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…
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 ability to fulfill the resource demand in runtime is encouraging businesses to migrate to the cloud. Recently, to provide real-time cloud services and to save network resources, fog computing is introduced.
C. Kumar Dehury and S. Narayana Srirama propose a novel deep reinforcement learning-based service dispersal approach for fog and cloud computing (DRLSD-FC) that is adopted for offering the service using both environments simultaneously.
The authors propose a novel data pipeline architecture for a serverless platform for providing an environment to develop applications that can be broken into independently deployable, schedulable, scalable, and reusable modules and efficiently manage the flow of data between different environments.
This paper introduces an efficient and novel data pipeline architecture, named CCoDaMiC (Coherent Coordination of Data Migration and Computation), which brings both the data migration operation and its computation together into one place.
Our project’s official White Paper ‘From zero to Serverless: The RADON approach’ is officially published!
Satish Narayana Srirama, Mainak Adhikari, and Souvik Paulย propose a new container-aware application scheduling strategy with an auto-scaling policy.
Stefano Dalla Palma, Dario Di Nucci, and Damian A. Tamburri present AnsibleMetrics, a Python-based static source code measurement tool to characterize Infrastructure-as-Code.