Social networks and discovery in the enterprise (SaND)
Inbal Ronen, Elad Shahar, et al.
SIGIR 2009
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.
Inbal Ronen, Elad Shahar, et al.
SIGIR 2009
Xinyi Su, Guangyu He, et al.
Dianli Xitong Zidonghua/Automation of Electric Power Systems
Quinn Pham, Danila Seliayeu, et al.
CASCON 2024
Sabine Deligne, Ellen Eide, et al.
INTERSPEECH - Eurospeech 2001