A hybrid computational fluid dynamics (CFD) approach is provided for modeling a bounded domain by processing the domain to automatically locate a viscous region(s) by: dividing the domain into cells and determining flow characteristic values for cells; defining characteristic cutoff values using multiple cutoff percentiles of cells and the flow characteristic values, and defining ranges between cutoff values, and respective values, where one value is a highest value R; assigning values to cells based on the determined flow characteristic values in comparison to the cutoffs; selectively increasing the assigned value of a cell(s) sharing a border with a seed cell having value R; identifying a viscous region where multiple contiguous cells have assigned values equal or above a threshold; evaluating the viscous region(s) by performing viscous domain solve; and providing a model of the domain using results of the viscous domain solve.

A hybrid computational fluid dynamics (CFD) approach is provided for modeling a bounded domain by processing the domain to automatically locate a viscous region(s) by: dividing the domain into cells and determining flow characteristic values for cells; defining characteristic cutoff values using multiple cutoff percentiles of cells and the flow characteristic values, and defining ranges between cutoff values, and respective values, where one value is a highest value R; assigning values to cells based on the determined flow characteristic values in comparison to the cutoffs; selectively increasing the assigned value of a cell(s) sharing a border with a seed cell having value R; identifying a viscous region where multiple contiguous cells have assigned values equal or above a threshold; evaluating the viscous region(s) by performing viscous domain solve; and providing a model of the domain using results of the viscous domain solve.

A computer-implemented method for evaluating cooling performance of equipment in a data center. In one aspect, the method comprises receiving data related to equipment in the data center, determining first parameters related to airflow and temperature in the data center at a first period in time, receiving a description of a transient event affecting one of airflow and temperature in the data center at a second time, breaking a second time period subsequent to the second time into a plurality of time intervals, determining second parameters related to airflow in the data center during one of the time intervals, determining the parameters related to temperature in the data center at each of the time intervals based on the second parameters related to airflow, and storing, on a storage device, a representation of the parameters related to temperature in the data center during the second time period.

Techniques for modeling a data center are provided. In one aspect, a method for determining data center efficiency is provided. The method includes the following steps. Target parameters for the data center are obtained. Technology pre-requisite parameters for the data center are obtained. An optimum data center efficiency is determined given the target parameters for the data center and the technology pre-requisite parameters for the data center.

Methods and systems are provided for generating an interactive simulation representing one or more assets based on one or more asset records. Based on information from asset records stored at a database system of a cloud-based computing system, an asset simulator module, executed at a cloud-based computing system, can generate one or more simulated representations of the assets. A simulator application executed at the cloud-based computing system can augment the simulated representations of the assets with (at least) additional information from the asset records stored in the database system, and generate a user interface that presents an interactive simulation of the assets. The user interface can include the simulated representations of the assets with the additional information from the asset records stored in the database system.

Techniques for modeling a data center are provided. In one aspect, a method for determining data center efficiency is provided. The method includes the following steps. Target parameters for the data center are obtained. Technology pre-requisite parameters for the data center are obtained. An optimum data center efficiency is determined given the target parameters for the data center and the technology pre-requisite parameters for the data center.

Methods and systems are provided for generating an interactive simulation representing one or more assets based on one or more asset records. Based on information from asset records stored at a database system of a cloud-based computing system, an asset simulator module, executed at a cloud-based computing system, can generate one or more simulated representations of the assets. A simulator application executed at the cloud-based computing system can augment the simulated representations of the assets with (at least) additional information from the asset records stored in the database system, and generate a user interface that presents an interactive simulation of the assets. The user interface can include the simulated representations of the assets with the additional information from the asset records stored in the database system.

A method for constructing a data center using an existing building includes identifying locations of beams in a first level of the existing building in which a server is placed; specifying layout options that include a server placement region that is surrounded by the beams and a floor removal region in a second level immediately above the first level, the floor removal region being directly above the server placement region; and determining, in the layout options, a layout of the data center in accordance with a weight of a server placed in the server placement region and a weight of a floor in the floor removal region.

A computer system may receive a layout of a data center, the layout of the data center identifying physical locations of a plurality of server racks, electrical distribution feeds, and uninterruptible power supplies. The computer system may receive a fault domain configuration for the datacenter, the fault domain configuration identifying virtual locations of a plurality of logical fault domains for distributing one or more instances so that the instances are stored on independent physical hardware devices within a single availability fault domain. The computer system may determine the configuration for the data center by assigning the plurality of fault domains to a plurality of electrical zones, wherein each electrical zone provides a redundant electrical power supply across the plurality of logical fault domains in an event of a failure of one or more electrical distribution feeds. The computer system may display the configuration for the data center on a display.

A computer-implemented method for identifying modifications in a data center to optimize airflow and cooling. The method includes: i) providing a model of the data centre represented as a grid having a plurality of cells, each cell having an object identifier selected from a plurality of objects including a floor tile, an open vent and an equipment rack; ii) assigning a score to each cell and to adjacent cells based on the cell's object identifier; iii) calculating a total score for each cell having a floor tile or open vent object identifier; iv) identifying whether a cell having an open vent object identifier has a total score below a lower score threshold; v) identifying whether a cell having a floor tile object identifier has a score above an upper score threshold; and vi) providing a visual output indicating any identified cells together with a recommendation for cells to be changed.