Total cost ownership optimization of private clouds: a rack minimization perspective.

With the development of network infrastructure, a large volume of data will be exchanged with increased bandwidth. Many applications are connecting people to the rest of the world through the public network. Thus, privacy and security have become a concern. Under this circumstance, it becomes a trend that the enterprises tend to host their data and services on private clouds dedicated to their own use, rather than the public cloud services. However, in contrary to the well-investigated total cost of ownership (TCO) for public clouds, the analytic research on the cost of purchase and operation for private clouds is still a blank. In this work, we first review the state-of-the-art TCO literature to summarize the models, tools, and cost optimization techniques for public clouds. Based on our survey, we envision the TCO modeling and optimization for private clouds by comparing the differences of features between public and private clouds. Finally, we propose a heuristic algorithm, conflict-aware first-fit to optimize the total cost of ownership of private cloud by minimizing the number of racks when deploying servers. [ABSTRACT FROM AUTHOR]