DCAV: A software system to evaluate next-generation cloud data center availability through a friendly graphical interface |
| |
Authors: | Andre Moreira Daniel Rosendo Demis Gomes Guto Leoni Santos Leylane Silva Carolina Cani Judith Kelner Djamel Sadok Glauco Gonçalves Amardeep Mehta Mattias Wildeman Patricia Takako Endo |
| |
Affiliation: | 1. Universidade Federal de Pernambuco, Pernambuco, Brazil;2. Universidade Federal Rural de Pernambuco, Recife, Pernambuco, Brazil;3. Ericsson Research, Kista, Sweden |
| |
Abstract: | To assess the availability of different data center configurations, understand the main root causes of data center failures and represent its low-level details, such as subsystem's behavior and their interconnections, we have proposed, in previous works, a set of stochastic models to represent different data center architectures (considering three subsystems: power, cooling, and IT) based on the TIA-942 standard. In this paper, we propose the Data Center Availability (DCAV), a web-based software system to allow data center operators to evaluate the availability of their data center infrastructure through a friendly interface, without need of understanding the technical details of the stochastic models. DCAV offers an easy step-by-step interface to create and configure a data center model. The main goal of the DCAV system is to abstract low-level details and modeling complexities, becoming the data center availability analysis a simple and less time-consuming task. |
| |
Keywords: | availability data center software system stochastic models web-based interface |
|
|