  The need for computational resources grows as computational algorithms gain
popularity in different sectors of the scientific community. This search has
stimulated the development of several cloud platforms that abstract the
complexity of computational infrastructure. Unfortunately, the cost of
accessing these resources could leave out various studies that could be carried
by a simpler infrastructure. In this article, we present a platform for
distributing computer simulations on resources available on a network using
containers that abstracts the complexity needed to configure these execution
environments and allows any user can benefit from this infrastructure.
Simulations could be developed in any programming language (like Python, Java,
C, R) and with specific execution needs within reach of the scientific
community in a general way. We will present results obtained in running
simulations that required more than 1000 runs with different initial parameters
and various other experiments that benefited from using the platform.
