Failure diagnosis with incomplete information in cable networks
Yun Mao, Hani Jamjoom, et al.
CoNEXT 2006
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.
Yun Mao, Hani Jamjoom, et al.
CoNEXT 2006
Anupam Gupta, Viswanath Nagarajan, et al.
Operations Research
John M. Boyer, Charles F. Wiecha
DocEng 2009
Lerong Cheng, Jinjun Xiong, et al.
ASP-DAC 2008