When deploying workflows in cloud environments, the use of Spot Instances (SIs) is
intriguing as they are much cheaper than on-demand ones. However, SIs are volatile and …

Federated Learning is a strategy where distributed training datasets are processed by
several clients coordinated by a central server that keeps the global learning model. This …

Petroleum reservoir simulation uses computer models to predict fluid flow in porous media,
aiding to forecast oil production. Engineers execute numerous simulations with different …

In this paper, we propose and evaluate an MPI/OpenMP framework to execute cloud
applications composed of scientific linear multi-workflows with unknown task execution …

Cloud computing enabled users to easily implement what was previously a complex data
center infrastructure, reducing its maintenance related costs. However, cloud costs can be …