CloudFlow will enable the remote use of computational services distributed on the cloud, seamlessly integrating these within established engineering design workflows and standards.CloudFlow aims to empower the different engineering disciplines with on-demand access to scalable computational services, allowing them to start any process when desired and without the need for a complex local infrastructure of cutting-edge high performing computers.
The new engineers’ workplaces do not need to be equipped with expensive software (CAD, CAM, CAE, PLM, data archival) and their required operating systems and versions, or with special hardware (CPU, RAM, GPU) and their dedicated drivers. Therefore, the engineer will not need multiple computers for different tasks; or in the case of limited computers, the engineers will not need to wait for the availability of the resources.
CloudFlow will build on existing technologies and standards, integrating and configuring them in such a way that engineers will be able to continue with their standard workflows and with their standard formats, but with a scalable amount of resources on-demand.CloudFlow will go beyond the mere provision of individual computational services on the cloud.
It has the ambition to support chains of services in integrated workflows and to allow the development and simulation of complex products such as mechatronic systems where mechanics, software and electronics work together. For this end, CloudFlow will take standards and quasi standards to the next level, the cloud level. Data management is planned to happen based on the ISO standard STEP and the ASD LOTAR specification EN9300, whereas the FMI (functional mock-up interface) specification builds the basis for co-simulation in the cloud where partners cannot only provide simulation services as cloud services but also behavioural models to be simulated in conjunction with other services.