  Resource allocation is today an integral part of cloud infrastructures
management to efficiently exploit resources. Cloud infrastructures centers
generally use custom built heuristics to define the resource allocations. It is
an immediate requirement for the management tools of these centers to have a
fast yet reasonably accurate simulation and evaluation platform to define the
resource allocation for cloud applications. This work proposes a framework
allowing users to easily specify mappings for cloud applications described in
the AMALTHEA format used in the context of the DreamCloud European project and
to assess the quality for these mappings. The two quality metrics provided by
the framework are execution time and energy consumption.
