Um ambiente para modelagem integrada de energia, custo e disponibilidade de Data Centers

Abstract

Sustainability has received increasing attention from the scientific community, with a strong focus on reducing energy consumption and maintaining nonrenewable resources for future generations. In parallel, the expansion of paradigms such as cloud computing, social networking, and e commerce has increased the demand for data centers. In this context, tools that support the modeling of data center architectures and compute metrics such as availability, cost, and energy consumption are extremely important. This project proposes developing a tool with a high level vision for modeling data Center architectures to compute energy consumption, availability, and cost. This tool development uses a graph library to represent the architecture’s components, and from which it will be internally converted to scripts compatible with another tool, called Mercury. The proposed tool will convert the model of this high level view, and through the communication with Mercury, the metrics of interest will be computed by formalism such as RBD(Reliability Block Diagram), EFM (Energy Flow Model) e SPN (Stochastic Petri Nets). Furthermore, optimization algorithms were integrated into the proposed tool. In order to find a combination of components for a given data center architecture in a reduced fraction of time, compared to the brute force algorithm (algorithm that tests all cases), from a preestablished list of components.