This page describes a tool, namely ASTRO, developed to evaluate sustainable environments in an easily way. Moreover, it is important to state that in such tool Data Center environments have been the focuses. In other words, the tool provide a graphical interface in order to model the data center power infrastructures, cooling devices and IT equipments. Additionally, in the tool, Generalized Stochastic Petri Nets (GSPN) and Reliability Block Diagram (RBD) have been considered in order to perform the dependability and sustainability evaluations. The ASTRO software is one of the results of a project, namely DESDAC, that have been conducted in partnership between the Sustainable IT Ecosystem HP Labs from Brasil and Palo Alto, and the informatics center (CIN) from the Federal University of Pernambuco (UFPE), Brazil since 2009.
For a better understanding of the proposed environment, this section presents the conceived methodology for evaluating dependability and sustainability of data center infrastructures (Figure 1). The sustainability impact index is computed based on the system components material and features, and considering availability metrics. Indeed, the presented set of phases are a group of broad activities such that aim mainly at describing a set of results obtained by each particular phase. Although the steps presented are generic, in this particular work, this process is carried out by adopting a hybrid modelling strategy which combines combinatorial and state-based models for representing the system dependability features. Exergy is adopted for quantifying the sustainability impact.
ASTRO has been conceived to support the evaluation of data center power infrastructures. Nevertheless, ASTRO is generic enough to allow dependability/sustainability evaluation of general systems. ASTRO provides for modeling purposes Reliability Block Diagrams (RBD), stochastic Petri Nets (SPN) and higher level models that abstract the utilization of RBD and SPN for non-specialized users. For quantifying sustainability impact, ASTRO adopts a method based on life-cycle assessment (LCA). Figure 2 shows the ASTRO features:
The ASTRO have four dierent views: (i)power view, (ii)cooling view, (iii) SPN and (iv) RBD. It is signi cant to highlight that a non-specialized user does not need to deal with the SPN or RBD formalism. Figure 3 depicts the power view of the developed tool.
Currently, the manual is available only in English.
If you want a copy of ASTRO tool, please, enter in contact with Prof Paulo Maciel through prmm at cin dot ufpe dot br