  Cloud Computing is an Internet based computing, whereby shared resources,
software and information, are provided to computers and devices on demand, like
the electricity grid. Currently, IaaS (Infrastructure as a Service), PaaS
(Platform as a Service) and SaaS (Software as a Service) are used as a business
model for Cloud Computing. Nowadays, the adoption and deployment of Cloud
Computing is increasing in various domains, forcing researchers to conduct
research in the area of Cloud Computing globally. Setting up the research
environment is critical for the researchers in the developing countries to
evaluate the research outputs. Currently, modeling, simulation technology and
access of resources from various university data centers has become a useful
and powerful tool in cloud computing research. Several cloud simulators have
been specifically developed by various universities to carry out Cloud
Computing research, including CloudSim, SPECI, Green Cloud and Future Systems
(the Indiana University machines India, Bravo, Delta, Echo and Foxtrot)
supports leading edge data science research and a broad range of
computing-enabled education as well as integration of ideas from cloud and HPC
systems. In this paper, the features, suitability, adaptability and the
learning curve of the existing Cloud Computing simulators and Future Systems
are reviewed and analyzed.
