  Cloud computing datacenters provide millions of virtual machines in actual
cloud markets. In this context, Virtual Machine Placement (VMP) is one of the
most challenging problems in cloud infrastructure management, considering the
large number of possible optimization criteria and different formulations that
could be studied. Considering the on-demand model of cloud computing, the VMP
problem should be optimized dynamically to efficiently attend typical workload
of modern applications. This work proposes several dynamic environments for
solving the VMP from the providers' perspective based on the most relevant
dynamic parameters studied so far in the VMP literature. A complete set of
environments and workload traces examples are presented in this work.
