DCAV: A software system to evaluate next-generation cloud data center availability through a friendly graphical interface

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

doi:10.1002/spe.2743

DCAV: A software system to evaluate next-generation cloud data center availability through a friendly graphical interface

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

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

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.

Original language	English
Pages (from-to)	1573-1599
Number of pages	27
Journal	Software: Practice and Experience
Volume	49
Issue number	11
DOIs	https://doi.org/10.1002/spe.2743
State	Published - Nov 1 2019
Externally published	Yes

Funding

This work was supported by the Research, Development and Innovation Center, Ericsson Telecomunicações S.A., Brazil.

Keywords

availability
data center
software system
stochastic models
web-based interface

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10.1002/spe.2743

Cite this

Moreira, A., Rosendo, D., Gomes, D., Leoni Santos, G., Silva, L., Cani, C., Kelner, J., Sadok, D., Gonçalves, G., Mehta, A., Wildeman, M., & Takako Endo, P. (2019). DCAV: A software system to evaluate next-generation cloud data center availability through a friendly graphical interface. Software: Practice and Experience, 49(11), 1573-1599. https://doi.org/10.1002/spe.2743

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title = "DCAV: A software system to evaluate next-generation cloud data center availability through a friendly graphical interface",

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",

author = "Andre Moreira and Daniel Rosendo and Demis Gomes and \{Leoni Santos\}, Guto and Leylane Silva and Carolina Cani and Judith Kelner and Djamel Sadok and Glauco Gon{\c c}alves and Amardeep Mehta and Mattias Wildeman and \{Takako Endo\}, Patricia",

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Moreira, A, Rosendo, D, Gomes, D, Leoni Santos, G, Silva, L, Cani, C, Kelner, J, Sadok, D, Gonçalves, G, Mehta, A, Wildeman, M & Takako Endo, P 2019, 'DCAV: A software system to evaluate next-generation cloud data center availability through a friendly graphical interface', Software: Practice and Experience, vol. 49, no. 11, pp. 1573-1599. https://doi.org/10.1002/spe.2743

TY - JOUR

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AU - Moreira, Andre

AU - Rosendo, Daniel

AU - Gomes, Demis

AU - Leoni Santos, Guto

AU - Silva, Leylane

AU - Cani, Carolina

AU - Kelner, Judith

AU - Sadok, Djamel

AU - Gonçalves, Glauco

AU - Mehta, Amardeep

AU - Wildeman, Mattias

AU - Takako Endo, Patricia

PY - 2019/11/1

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N2 - 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.

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KW - software system

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DCAV: A software system to evaluate next-generation cloud data center availability through a friendly graphical interface

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