Solar Powered Data Center
Barker and Rock (2009) describe how improvements can be made to a test facility that can greatly enhance research design. The testing of sensors and actuators in inertial and non inertial sensors can provide information such as seismic and vibration readings for determining location and navigation for an orbital solar cloud platform (Thielman, Bennett, Barker, & Ash, 2002). Improvements to the construction and design of these systems can lower the cost significantly and provide an unmanned orbital aircraft that can serve as a data center that can save messages via satellite. An orbital solar powered data center that is launched into space and rotates around the earth has advantages in that it can save vital land resources, provide services for other space systems, and be powered from solar energy.
Gheorghe (2016) suggests further research in temperature dependency in sensors and microcontrollers. A significant portion of the costs in data centers is due to power and cooling. The lower temperatures of orbital systems may reduce the cost of cooling but testing of equipment in this area may increase requirements of testing and calibration in these areas: body frame
sensor frame, and
Hamilton (2010) estimated the costs of building a high-scale data center. If the development of an orbital data center can be reduced by improvements to sensors and actuators, on-going costs of an orbital data center can be reduced by negating the need for significant power, cooling, and labor resources. Improvements and availability of sensors and actuators can also lower the power costs, lower the maintenance costs, and increase the overall availability of these services (Castagno, Curry, & Loree, 2006; Gheorghe, 2016).
Additional alternatives to orbital solar powered data centers include land solar-powered data centers and fuel-powered data centers (Riekstin, James, Kansal, Liu, & Peterson, 2014).
Annex, A. (2010). IEEE Standard Specification Format Guide and Test Procedure for Nongyroscopic Inertial Angular Sensors: Jerk, Acceleration, Velocity, and Displacement.
Barker, C., & Rock, W. (2009). Advanced Inertial Test Laboratory: Improving Low-Noise Testing of High-Accuracy Instruments. In US Air Force T&E Days, p. 1727.
Castagno, S., Curry, R. D., & Loree, E. (2006). Analysis and comparison of a fast turn-on series IGBT stack and high-voltage-rated commercial IGBTs. IEEE Transactions on Plasma Science, 34(5), 1692-1696.
Gheorghe, M. V. (2016, October). Advanced calibration method for 3-axis MEMS accelerometers. In International Semiconductor Conference (CAS), 2016 (pp. 81-84). IEEE.
Hamilton, J. (2010). Overall data center costs. http://perspectives.mvdirona.com/2010/09/
Riekstin, A. C., James, S., Kansal, A., Liu, J., & Peterson, E. (2014). No more electrical infrastructure: towards fuel cell powered data centers. SIGOPS Oper. Syst. Rev. 48, 1 (May 2014), 39-43. DOI=http://dx.doi.org.proxy.cecybrary.com/10.1145/2626401.2626410
Thielman, L. O., Bennett, S., Barker, C. H., & Ash, M. E. (2002). Proposed IEEE Coriolis Vibratory Gyro standard and other inertial sensor standards. In Position Location and Navigation Symposium, 2002 IEEE (pp. 351-358). IEEE.