Optimization algorithms for energy-efficient data centers
Hendrik F. Hamann
InterPACK 2013
The Greed and Regret problem is a simple model with applications in areas such as studies of crime, ultimatums, bidding, setting service levels and sales force compensation. In general, the Greed and Regret problem is not concave, and may admit several local optima. Nevertheless, the optimal solution exhibits some intuitive monotonicity properties with respect to the problem parameters. We identify a sufficient condition for uniqueness of the optimal solution, which is a generalization of the Increasing Generalized Failure Rate property developed by Lariviere and Porteus (2001). © 2009 Elsevier B.V. All rights reserved.
Hendrik F. Hamann
InterPACK 2013
J.P. Locquet, J. Perret, et al.
SPIE Optical Science, Engineering, and Instrumentation 1998
M.J. Slattery, Joan L. Mitchell
IBM J. Res. Dev
Eric Price, David P. Woodruff
FOCS 2011