Optimization algorithms for energy-efficient data centers
Hendrik F. Hamann
InterPACK 2013
Analytical framework based on maximum Tsallis entropy is proposed for studying finite buffer queueing system when information about fractional moment of queue size and utilization is available. The framework enables us to obtain closed form expressions for queue length distribution and loss probability for generalized M/M/1/N system when input to the system possesses power law characteristics. It is shown that queue length distribution depicts power law as the number of units in the system becomes large. A new result for asymptotic loss probability exhibiting power law behavior is derived. © 2006 IEEE.
Hendrik F. Hamann
InterPACK 2013
Raymond F. Boyce, Donald D. Chamberlin, et al.
CACM
Israel Cidon, Leonidas Georgiadis, et al.
IEEE/ACM Transactions on Networking
B.K. Boguraev, Mary S. Neff
HICSS 2000