[1[ R.K. Sharma, C.E. Bash, C.D. Patel, Dimensionless parameters for evaluation of thermal design and performance of large scale data centers, in: Proceedings of AIAA2002-3091, American Institute of Aeronautics and Astronautics Conference, 2002.
 M.K. Herrlin, Rack cooling effectiveness in data centers and telecom central offices: the rack cooling index (RCI), ASHRAE Transactions 111 (2) (2005) 1–11.
 J. Cho, T. Lim, B.S. Kim, Measurements and predictions of the air distribution systems in high compute density (Internet) data centers, Energy and Buildings 41 (10) (2009) 1107–1115.
 Nakao, M., Hayama, H. and Nishioka, M., 1991, which cooling air supply system is better for a high heat density room: Under floor or overhead. Proceedings of International Telecommunications Energy Conference (INTELEC) 12(4), p. 393-400.
 C.D. Patel, C. Bash, C. Belady, L. Stahl, D. Sullivan. Computational fluid dynamics modeling of high compute density data centers to assure system inlet air specifications, The Pacific Rim/ASME International Electronics Packaging Technical Conference.
 C.D. Patel, R. Sharma, C. Bash, M. Beitelmal. Thermal considerations in cooling of large scale high compute density data centers, Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems, 2002, pp. 767e776.
 J. Rambo, Y. Joshi. Multi-scale modeling of high power density data centers, The Pacific Rim/ASME International Electronics Packaging Technical Conference and Exhibition, 2003, IPACK2003-35297.
 J. Rambo, Y. Joshi. Physical models in data cneters airflow simulations, ASME International Mechanical Engineering Congress and R&D Exposition, 2003, IMECE03-41381.
 R. Schmidt, K.C. Karki, S.V. Patankar. Raised data center: Perforated tile flow rates for various tile layouts, 9th Intersociety Conference on Thermal and Thermo mechanical Phenomena in Electronic Systems, 2004.
 R. Schmidt, K.C. Karki, K.M. Kelkar, A. Radmehr, S.V. Patankar. Measurements and predictions of the flow distribution through perforated tiles in raised floor data centers, The Pacific Rim/ASME International Electronics Packaging Technical Conference.
 Jinkyun Cho, Joonyoung Yang, Woopyoung Park, (2014). “Evaluation of air distribution system’s airflow performance for coolingenergy savings in high-density data centers”. Journal of the Energy and Buildings, pp. 270–279.
 Priyadumkol, Chawalit Kittichaikarn, (2014). “Application of the combined air-conditioning systems for energyconservation in data center”. Journal of the Energy and Buildings, pp. 580–586.
 N.M.S. Hassan, M.M.K. Khan, M.G. Rasul, (2013). “Temperature monitoring and CFD Analysis of Data Centre”. Journal of the Procedia Engineering, pp. 551–55.
 Z. Song, B. T. Murray, and B. Sammakia, “Airflow and temperature distribution optimization in data centers using artificial neural networks,” International Journal of Heat and Mass Transfer, vol. 64, pp. 80–90, Sep. 2013.
 S. Deng and Y. Hwang, “Applying neural networks to the solution of forward and inverse heat conduction problems,” International Journal of Heat and Mass Transfer, vol. 49, no. 25–26, pp. 4732–4750, Dec. 2006.
 C.-C. Wang, J.-H. Huang, and D.-J. Yang, “Cubic spline difference method for heat conduction,” International Communications in Heat and Mass Transfer, vol. 39, no. 2, pp. 224–230, Feb. 2012.