DocumentCode :
2854636
Title :
Characterization and Synthesis of Markovian Workload Models
Author :
Casale, Giuliano ; Zhang, Eddy Z. ; Smirni, Evgenia
Author_Institution :
Coll. of William & Mary, Williamsburg, VA
fYear :
2007
fDate :
26-30 Nov. 2007
Firstpage :
1
Lastpage :
5
Abstract :
We consider the general problem of workload model generation using Markovian Arrival Processes (MAPs). MAPs are a large class of analytically tractable processes frequently used in communication and computer network modeling. We show that MAP moment and autocorrelation formulas admit a simple scalar form deriving from spectral properties of the MAP defining matrices. This suggests a new approach for studying MAPs, by which we address challenging characterization and fitting problems as well as the open issue of synthesizing processes with prescribed moments and acf for inter-arrival times. A case study illustrates the impact of spectral-based synthesis on sensitivity analysis of network models.
Keywords :
Markov processes; telecommunication traffic; Markovian arrival processes; Markovian workload models; autocorrelation formulas; computer network modeling; sensitivity analysis; spectral properties; spectral-based synthesis; synthesizing processes; Autocorrelation; Character generation; Computer networks; Educational institutions; Embedded computing; Network synthesis; Sensitivity analysis; Spectral analysis; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Globecom Workshops, 2007 IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-2024-7
Type :
conf
DOI :
10.1109/GLOCOMW.2007.4437779
Filename :
4437779
Link To Document :
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