  Recent efforts to design and develop Cloud technologies focus on defining
novel methods, policies and mechanisms for efficiently managing Cloud
infrastructures. One key challenge potential Cloud customers have before
renting resources is to know how their services will behave in a set of
resources and the costs involved when growing and shrinking their resource
pool. Most of the studies in this area rely on simulation-based experiments,
which consider simplified modeling of applications and computing environment.
In order to better predict service's behavior on Cloud platforms, an integrated
architecture that is based on both simulation and emulation. The proposed
architecture, named EMUSIM, automatically extracts information from application
behavior via emulation and then uses this information to generate the
corresponding simulation model. This paper presents brief overview of the
EMUSIM technique and its components. The work in this paper focuses on
architecture and operation details of Automated Emulation Framework (AEF),
QAppDeployer and proposes Cloud Sim Application for Simulation techniques.
