PREDICTING INTERNET TRAFFIC BURSTS USING EXTREME VALUE THEORY
Computer networks play an important role in today’s organization and people life. These interconnected devices share a common medium and they tend to compete for it. Quality of Service (QoS) comes into play as to define what level of services users get. Accurately defining the QoS metrics is thus...
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2011
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my-utp-utpedia.28342017-01-25T09:42:27Z http://utpedia.utp.edu.my/2834/ PREDICTING INTERNET TRAFFIC BURSTS USING EXTREME VALUE THEORY YOUSSOUF DAHAB, ABDELMAHAMOUD YOUSSOUF DAHAB Computer networks play an important role in today’s organization and people life. These interconnected devices share a common medium and they tend to compete for it. Quality of Service (QoS) comes into play as to define what level of services users get. Accurately defining the QoS metrics is thus important. Bursts and serious deteriorations are omnipresent in Internet and considered as an important aspects of it. This thesis examines bursts and serious deteriorations in Internet traffic and applies Extreme Value Theory (EVT) to their prediction and modelling. EVT itself is a field of statistics that has been in application in fields like hydrology and finance, with only a recent introduction to the field of telecommunications. Model fitting is based on real traces from Belcore laboratory along with some simulated traces based on fractional Gaussian noise and linear fractional alpha stable motion. QoS traces from University of Napoli are also used in the prediction stage. Three methods from EVT are successfully used for the bursts prediction problem. They are Block Maxima (BM) method, Peaks Over Threshold (POT) method, and RLargest Order Statistics (RLOS) method. Bursts in internet traffic are predicted using the above three methods. A clear methodology was developed for the bursts prediction problem. New metrics for QoS are suggested based on Return Level and Return Period. Thus, robust QoS metrics can be defined. In turn, a superior QoS will be obtained that would support mission critical applications. 2011-05 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/2834/1/Abdelmahamoud_Youssouf_Dahab_PhD_Thesis_%28Predicting_Internet_Traffic_Bursts_using_Extreme_Value_Theory%29.pdf YOUSSOUF DAHAB, ABDELMAHAMOUD YOUSSOUF DAHAB (2011) PREDICTING INTERNET TRAFFIC BURSTS USING EXTREME VALUE THEORY. PhD thesis, UNIVERSITI TEKNOLOGI PETRONAS. |
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Computer networks play an important role in today’s organization and people life.
These interconnected devices share a common medium and they tend to compete for
it. Quality of Service (QoS) comes into play as to define what level of services users
get. Accurately defining the QoS metrics is thus important.
Bursts and serious deteriorations are omnipresent in Internet and considered as an
important aspects of it. This thesis examines bursts and serious deteriorations in
Internet traffic and applies Extreme Value Theory (EVT) to their prediction and
modelling. EVT itself is a field of statistics that has been in application in fields like
hydrology and finance, with only a recent introduction to the field of
telecommunications. Model fitting is based on real traces from Belcore laboratory
along with some simulated traces based on fractional Gaussian noise and linear
fractional alpha stable motion. QoS traces from University of Napoli are also used in
the prediction stage.
Three methods from EVT are successfully used for the bursts prediction problem.
They are Block Maxima (BM) method, Peaks Over Threshold (POT) method, and RLargest
Order Statistics (RLOS) method. Bursts in internet traffic are predicted using
the above three methods. A clear methodology was developed for the bursts
prediction problem. New metrics for QoS are suggested based on Return Level and
Return Period. Thus, robust QoS metrics can be defined. In turn, a superior QoS will
be obtained that would support mission critical applications. |
format |
Thesis |
author |
YOUSSOUF DAHAB, ABDELMAHAMOUD YOUSSOUF DAHAB |
spellingShingle |
YOUSSOUF DAHAB, ABDELMAHAMOUD YOUSSOUF DAHAB PREDICTING INTERNET TRAFFIC BURSTS USING EXTREME VALUE THEORY |
author_facet |
YOUSSOUF DAHAB, ABDELMAHAMOUD YOUSSOUF DAHAB |
author_sort |
YOUSSOUF DAHAB, ABDELMAHAMOUD YOUSSOUF DAHAB |
title |
PREDICTING INTERNET TRAFFIC BURSTS USING
EXTREME VALUE THEORY |
title_short |
PREDICTING INTERNET TRAFFIC BURSTS USING
EXTREME VALUE THEORY |
title_full |
PREDICTING INTERNET TRAFFIC BURSTS USING
EXTREME VALUE THEORY |
title_fullStr |
PREDICTING INTERNET TRAFFIC BURSTS USING
EXTREME VALUE THEORY |
title_full_unstemmed |
PREDICTING INTERNET TRAFFIC BURSTS USING
EXTREME VALUE THEORY |
title_sort |
predicting internet traffic bursts using
extreme value theory |
publishDate |
2011 |
url |
http://utpedia.utp.edu.my/2834/1/Abdelmahamoud_Youssouf_Dahab_PhD_Thesis_%28Predicting_Internet_Traffic_Bursts_using_Extreme_Value_Theory%29.pdf http://utpedia.utp.edu.my/2834/ |
_version_ |
1739830964992868352 |
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13.18916 |