Abstract
Multifractal studies have applications in several science and engineering fields with a tendency to increase nowadays. In this paper, it is evaluated a synthetic multifractal trace set generated by a novel algorithm in which the multifractal spectrum width of these signals is manipulated. This algorithm is also developed by the same authors and it is based on multifractal wavelet model (MWM) approach. This evaluation is performed by comparing the synthetic traces with some real traces acquired from Bellcore laboratories database. A timing parameter from queueing theory was measured. The results are promising, the synthetic traces exhibit results with margin errors lower than 5%.
| Original language | English |
|---|---|
| Pages (from-to) | 2008-2017 |
| Number of pages | 10 |
| Journal | International Journal of Engineering and Technology |
| Volume | 7 |
| Issue number | 6 |
| Publication status | Published - Jan 1 2016 |
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Keywords
- Hurst exponent
- Multifractal signals
- Multifractal spectrum
- Multifractal wavelet model
- Queueing theory
ASJC Scopus subject areas
- Engineering(all)
Cite this
Evaluation of synthetic communication data traces obtained from multifractal algorithms using queueing theory. / Vela, Fernando; Tuberquia, Luis; López, Hans; Hernández, Cesar.
In: International Journal of Engineering and Technology, Vol. 7, No. 6, 01.01.2016, p. 2008-2017.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Evaluation of synthetic communication data traces obtained from multifractal algorithms using queueing theory
AU - Vela, Fernando
AU - Tuberquia, Luis
AU - López, Hans
AU - Hernández, Cesar
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Multifractal studies have applications in several science and engineering fields with a tendency to increase nowadays. In this paper, it is evaluated a synthetic multifractal trace set generated by a novel algorithm in which the multifractal spectrum width of these signals is manipulated. This algorithm is also developed by the same authors and it is based on multifractal wavelet model (MWM) approach. This evaluation is performed by comparing the synthetic traces with some real traces acquired from Bellcore laboratories database. A timing parameter from queueing theory was measured. The results are promising, the synthetic traces exhibit results with margin errors lower than 5%.
AB - Multifractal studies have applications in several science and engineering fields with a tendency to increase nowadays. In this paper, it is evaluated a synthetic multifractal trace set generated by a novel algorithm in which the multifractal spectrum width of these signals is manipulated. This algorithm is also developed by the same authors and it is based on multifractal wavelet model (MWM) approach. This evaluation is performed by comparing the synthetic traces with some real traces acquired from Bellcore laboratories database. A timing parameter from queueing theory was measured. The results are promising, the synthetic traces exhibit results with margin errors lower than 5%.
KW - Hurst exponent
KW - Multifractal signals
KW - Multifractal spectrum
KW - Multifractal wavelet model
KW - Queueing theory
UR - http://www.scopus.com/inward/record.url?scp=84954411988&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84954411988&partnerID=8YFLogxK
M3 - Article
VL - 7
SP - 2008
EP - 2017
JO - International Journal of Engineering and Technology
T2 - International Journal of Engineering and Technology
JF - International Journal of Engineering and Technology
SN - 0975-4024
IS - 6
ER -