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A system and method to model and design a layout of an Internet Datacenter (IDC) for cooling. The IDC is defined as a collection of cells, the cells of the IDC are pre-characterized, an arrangement of the cells within the IDC is determined, and a profile for one or more parameters of interest for ea

A system and method to model and design a layout of an Internet Datacenter (IDC) for cooling. The IDC is defined as a collection of cells, the cells of the IDC are pre-characterized, an arrangement of the cells within the IDC is determined, and a profile for one or more parameters of interest for each cell are determined.

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What is claimed is: 1. A method of using a computer processor to design a physical layout for an Internet Datacenter (IDC) cooling, wherein the IDC comprises a plurality of components, said method comprising: modeling, in the computer, the components of the IDC as a collection of cells; assigning o

What is claimed is: 1. A method of using a computer processor to design a physical layout for an Internet Datacenter (IDC) cooling, wherein the IDC comprises a plurality of components, said method comprising: modeling, in the computer, the components of the IDC as a collection of cells; assigning one or more characteristics to each of the cells; assigning one or more constraints to each of the cells; determining an arrangement of the cells within the IDC; determining a profile for one or more parameters of interest for each cell; and using the computer processor to design a physical layout of the IDC cooling based on the determined profile, to thereby model conditions within the IDC to stay within the determined profile. 2. The method of claim 1, wherein the parameters of interest of a cell include one or more of a maximum temperature, noise, electromagnetic interference, cost, and air flow rate. 3. The method of claim 1, wherein the step of modeling the IDC includes modeling each of the cells as one of a global and a local type of cell. 4. The method of claim 1, wherein: the one or more characteristics include one or more of a server type, vent tile pitch, orientation, ceiling plenum, floor plenum, and air conditioning; and the one or more constraints include one or more of placement constraints, upgrade restraints, and dependencies. 5. The method of claim 1, wherein the step of modeling components includes sizing the cells such that interaction between local cells is negligible in a simulation. 6. The method of claim 1, further comprising: generating a look-up table of coefficients of the one or more parameters of interest for each cell; and generating a fitting formula of coefficients of the one or more parameters of interest for each cell. 7. The method of claim 6, further comprising using computational flow dynamics to generate one or more of the look-up table and the fitting formula. 8. The method of claim 6, wherein the step of determining the profile for one or more parameters of interest for each cell includes determining one or more values corresponding to each of the one or more parameters of interest for each cell. 9. The method of claim 8, wherein the one or more values of the parameters of interest are determined for each cell based on one or more of: the cell arrangement; the look-up table of coefficients; the fitting formula of coefficients; and the characteristics of the cell. 10. The method of claim 9, wherein the one or more characteristics include at least one of a server type, vent tile pitch, orientation, ceiling plenum, floor plenum, and air conditioning. 11. The method of claim 9, further comprising: using a multiple regression equation used to determine the one or more values of the parameters of interest for each cell. 12. The method of claim 1, further comprising one or more of: calculating costs based on the profiles of one or more parameters of interest of the cells; and verifying a solution from the step of determining the profile. 13. The method of claim 12, wherein the calculated cost is measured in one or more of money, power consumption, server density, usability, and efficiency. 14. The method of claim 12, wherein the step of verifying the solution includes using computational flow dynamics simulation. 15. The method of claim 1, further including iterating one or more times through the steps of: calculating costs based on the profiles of one or more parameters of interest of the cells; optimizing the cell arrangement based on the results of the calculating step; determining the arrangement of cells based on the optimizing step; and determining the profile for the one or more parameters of interest. 16. The method of claim 15, wherein the step of optimizing the cell arrangement includes using at least one of genetic algorithm, simulated annealing algorithm, threshold acceptance algorithm, branch and bound algorithm, and gradient-descent algorithm to optimize the cell arrangement. 17. A computerized system to design a physical layout for Internet Datacenter (IDC) cooling, wherein the IDC comprises a plurality of components, said system comprising: a definition module stored in the computerized system configured to define model the components of the IDC as a collection of cells and to assign one or more constraints to each of the cells, wherein the modeling and the one or more constraints are stored as data on the computer; a pre-characterization module configured to generate pre-characterization information of the cells of the IDC to a coefficient table stored as data on the computer; an arrangement module configured to determine an arrangement of the cells within the IDC; a profiler module configured to determine a profile for one or more parameters of interest for each cell based on the pre-characterization information from the coefficient table; and a main module configured to design, on the computerized system, a physical layout of the IDC cooling based on the determined profile, to thereby model conditions within the IDC to stay within the determined profile. 18. The system of claim 17, wherein the parameters of interest of a cell include one or more of a maximum temperature, noise, electromagnetic interference, cost, and air flow rate. 19. The system of claim 17, wherein the definition module is further configured to: model components each of the cells as one of a global and a local type of cell. 20. The system of claim 17, wherein: the one or more characteristics include one or more of a server type, vent tile pitch, orientation, ceiling plenum, floor plenum, and air conditioning; and the constraints include one or more of placement constraints, upgrade restraints, and dependencies. 21. The system of claim 17, wherein the definition module is further configured to model the sizes of the cells such that interaction between local cells is negligible in a simulation. 22. The system of claim 17, wherein the pre-characterization module comprises: a computational flow dynamics (CFD) interface module configured to interface with an external source of CFD data; a look-up table/fitting formulation generation module configured to generate one or more of a look-up table of coefficients and a fitting formula of the one or more parameters of interest for each cell; and a coordinator module configured to coordinate activities of the CFD interface module and the look-up table/fitting formula generator module and to write the one or more of the look-up table of coefficients and the fitting formula of the one or more parameters to the coefficient table. 23. The system of claim 22, wherein the profiler module is further configured to determine one or more values corresponding to each of the one or more parameters of interest for each cell based on the pre-characterization information from the coefficient table. 24. The system of claim 23, wherein the one or more values of the parameters of interest are determined for each cell based on one or more of; the cell arrangement; the look-up table of coefficients; the fitting formula of coefficients; and one or more characteristics of the cell. 25. The system of claim 24, wherein the one or more characteristics include one or more of a server type, vent tile pitch, orientation, ceiling plenum, floor plenum, and air conditioning. 26. The system of claim 17, further comprising one or more of: a cost calculate module for calculating costs based an the profiles of one or more parameters of interest of the cells; and a verifier module for verifying a solution from the profiler module. 27. The system of claim 26, wherein the cost calculate module is configured to calculate cost measured in one or more of money, power consumption, server density, usability, and efficiency. 28. The system of claim 26, wherein the verifier module is configured to use a computational flow dynamics simulation to verify the solution. 29. The system of claim 26, further comprising: or optimizer module configured to optimize the solution based on results reached by the cost calculate module. 30. The system of claim 29, wherein the optimizer module utilizes at least one of a genetic algorithm, a simulated annealing algorithm, a threshold acceptance algorithm, a branch and bound algorithm, and a gradient-descent algorithm to optimize the solution. 31. The system of claim 29, wherein the arrangement module is further configured to arrange cells of the IDC based on results of the optimizer module. 32. A computerized system for designing a physical layout for Internet Datacenter (IDC) cooling, wherein the IDC comprises a plurality of components, said system comprising: means to model, stored in the computerized system, the components of the IDC as a collection of cells; means to pre-characterize assign one or more characteristics to each of the cells; means to assign one or more constraints to each of the cells; means to determine an arrangement of the cells within the IDC; means to determine a profile for one or more parameters of interest for each cell; and means to design, on the computerized system, a physical layout of the IDC cooling based on the profile determined by the means to determine a profile, to thereby model conditions within the IDC to stay within the determined profile. 33. The system of claim 32, wherein the means to model includes: means to model each of the cells as one of a global and a local type. 34. The system of claim 33, wherein the means to model further includes means to configure the sizes of the cells such that interaction between local cells is negligible in a simulation. 35. The system of claim 32, further comprising one or more of means to calculate costs based on the profiles of one or more parameters of interest of the cells; and means to verify a solution from the means to profile. 36. The system of claim 35, further comprising: means to optimize the solution based on results reached by the means to calculate. 37. The system of claim 36, wherein the means to optimize utilizes at least one of genetic algorithm, simulated annealing algorithm, threshold acceptance algorithm, branch and bound algorithm, and gradient-descent algorithm to optimize the solution. 38. The system of claim 37, wherein the means to design is configured to arrange cells of the IDC based on the optimized solution of the means to optimize. 39. A computer readable storage medium on which is embedded one or more computer programs, said one or more computer programs implementing a method for using a computer processor to design a physical layout for an Internet Datacenter (IDC) cooling, wherein the IDC comprises a plurality of components, said one or more computer programs comprising a set of instructions for: modeling, in the computer, die components of the IDC as a collection of cells; assigning one or more characteristics to each of the cells; determining an arrangement of the cells within the IDC; determining a profile for one or more parameters of interest for each cell based upon the one or more characteristics and the arrangement of the cells; assigning one or more constraints to each of the cells; and using the computer processor to design a physical layout of to IDC cooling based on the assigned one or more constraints and the determined profile for each cell, such that IDC cooling is arranged to model conditions within the IDC to stay within the assigned one or more constraints and the determined profile of each cell.