Paper Info
Title
Performance analysis of Markov regenerative reward models
Abstract
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 sufficient 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 of MRRMs is provided in transform domain, as well as considerations about the time domain numerical evaluation of these measures. As a simple application example the performance of a finite queueing system is analyzed.
Year
DOI
Venue
1996
10.1016/0166-5316(96)00024-7
Perform. Eval.
Keywords
Field
DocType
performance analysis,task completion time,stochastic reward models,markov regenerative reward model,accumulated reward,markov regenerative processes,time domain
Time domain,Mathematical optimization,Simulation,Computer science,Markov chain,Queueing system,Variable-order Markov model,Distributed computing
Journal
Volume
ISSN
Citations 
27-28,
Performance Evaluation
9
PageRank 
References 
Authors
0.79
11
2
Name
Order
Citations
PageRank
Miklós Telek1922102.56
András Pfening2589.61