Performance Analysis of Markov Regenerative Reward
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چکیده
The problem considered in the paper can not be solved by the traditional technique available for the analysis of Markov Regenerative Processes (MRGP). The widely used description of MRGPs, i.e. by the local and the global kernels, do not contain su cient information on the process to evaluate the distribution of reward measures. A new analytical approach is proposed and studied to utilize better the Markov regenerative property for the analysis of Markov Regenerative Reward Models (MRRM). The distribution of the accumulated reward and the completion time ofMRRMs is provided in transformdomain, as well as considerations about the time domain numerical evaluation of these measures. As a simple application example the performance of a nite queueing system is analyzed.
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تاریخ انتشار 2016