COMPSs is a programming framework that aims to facilitate the parallelization of existing applications written in Java, C/C++ and Python scripts. For that purpose, it offers a simple programming model based on sequential development in which the user is mainly responsible for identifying the functions to be executed as asynchronous parallel tasks and annotating them with annotations or standard Python decorators.\ud A runtime system is in charge of exploiting the inherent concurrency of the code, automatically detecting and enforcing the data dependencies between tasks and spawning these tasks to the available resources, which can be nodes in a cluster, clouds or grids. In cloud environments, COMPSs provides scalability and elasticity features allowing the dynamic provision of resources.This work has been supported by the following institutions: the Spanish Government with grant SEV-2011-00067 of the Severo Ochoa Program and contract Computacion de Altas\ud Prestaciones VI (TIN2012-34557); by the SGR programme (2014-SGR-1051) of the Catalan Government; by the project The Human Brain Project, funded by the European Commission\ud under contract 604102; by the ASCETiC project funded by the European Commission under contract 610874; by the\ud EUBrazilCloudConnect project funded by the European Commission under contract 614048; and by the Intel-BSC Exascale\ud Lab collaboration.Peer ReviewedPostprint (published version

In this work we introduce the EUBrazilCC federated cloud e-infrastructure based on Fogbow, a new middleware designed to support federation of IaaS cloud providers according to a novel approach. It is based on the provision of federation functionalities offered at a higher architectural level than current approaches by being deployed on top of the IaaS cloud orchestrators of each federation member. Fogbow is endowed with great flexibility due to the use of plugins that allow for the definition of precise interaction points between the federation middleware and the underlying cloud orchestrator. The resulting architecture, which relies on standards for conciliating different orchestrators' peculiarities, is thereby able to provide a common API to decouple federation functionalities from the orchestrator functionalities. Fogbow has been deployed to federate the private clouds of the members of the consortium of the EUBrazilCC project, and is also being used in an experimental federation that is part of the cloud initiative of the Brazilian National Research and Education Network (NREN) operator, as well as in an experimental deployment that aims at federating private clouds belonging to two large public companies in Brazil.