SILVA, V. B.; SILVA, Vinicius Barbosa da.
Resumen:
With the advancement of computers and their increasing use in many different areas,
research that uses computing intensively to obtain results, also known as e-researches, have
become increasingly present in academia and in companies that need to run applications
that process large amounts of data. For a long time, the most common environment for
running these applications was the supercomputers, which are infrastructures with high
installation and maintenance costs and are mostly present in specific locations, such as large
companies and academic institutions. Therefore, this type of infrastructure is not always
accessible to all researchers. Supercomputers have previously allocated computational
resources (CPU, RAM, storage) that if not properly used, either because of an inefficient
scheduling policy or low demand, end up being wasted. With this in mind, we propose
Arrebol: a cloud-based batch processing system that takes advantage of the elasticity of this
environment and allocates resources on demand. Arrebol monitors the cluster's workload
and tries to balance it with the available resources. Whenever possible, it tries to optimize
resource utilization by keeping it as small as possible. The present work continues the
Arrebol development by implementing the resource management server (Resource
Manager).
