The execution of distributed applications on the Grid is already a reality. However, as both
the number of applications grow and Grids increase in scale, the efficient utilization of the …

Divisible load applications have such a rich source of parallelism that their parallelization
can significantly reduce their total completion time on cloud computing environments …

Maintenance of proprietary languages and corresponding tooling is expensive. Postponing
maintenance to reduce these costs is an often applied, short-term solution which eventually …

Computational grids aim to aggregate significant numbers of resources to provide sufficient,
but low cost, computational power to an ever growing variety applications. Writing …

Computational grids aim to aggregate significant numbers of resources to provide sufficient,
but low cost, computational power to various applications. Writing applications capable of …

The execution of distributed applications on the grid is already a reality. As both the number
of applications grow and grids scale, efficient utilization of the available but shared …

Applications with divisible loads have such a rich source of parallelism that their
parallelization can significantly reduce their total completion time on grid computing …

Grid environments are dynamic and heterogeneous by nature, therefore requiring adaptive
scheduling strategies. Reinforcement learning is an interesting and simple adaptive …

In this work, we study the behaviour of different resource scheduling strategies when doing
job orchestration in grid environments. We empirically demonstrate that scheduling …

Diversas aplicações que processam uma massa significativa de volume de dados podem
ser transformadas em aplicações paralelas compostas por tarefas independentes …