Fast optimization method : the window size and hurst parameter estimator on self-similar network traffic
This paper describes a version of the fast optimization method (FOM) used to estimate the Hurst parameter (H) with appropriate window sizes in self-similar network traffic. Large or short window sizes, for example, may cause the results to become unreliable. Estimating window sizes requires that th...
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Taru Publications, New Delhi
2007
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Online Access: | http://eprints.utm.my/id/eprint/5032/ http://dx.doi.org/10.1080/02522667.2007.10699750 |
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my.utm.50322017-10-09T08:42:07Z http://eprints.utm.my/id/eprint/5032/ Fast optimization method : the window size and hurst parameter estimator on self-similar network traffic Idris, Mohd. Yazid Abdullah, Abdul Hanan Maarof, Mohd. Aizaini QA75 Electronic computers. Computer science This paper describes a version of the fast optimization method (FOM) used to estimate the Hurst parameter (H) with appropriate window sizes in self-similar network traffic. Large or short window sizes, for example, may cause the results to become unreliable. Estimating window sizes requires that the estimation process be repeated, such as in iterative optimization method (IOM) and will result in the high consumption of CPU time. This paper empirically compares the CPU time and the estimation results using both the FOM and IOM methods. Finally, it shows that the FOM outperforms the IOM in that it significantly reduces total CPU time and maintains the reliability of the estimation results. Taru Publications, New Delhi 2007-05-01 Article PeerReviewed Idris, Mohd. Yazid and Abdullah, Abdul Hanan and Maarof, Mohd. Aizaini (2007) Fast optimization method : the window size and hurst parameter estimator on self-similar network traffic. Journal of Information and Optimization Sciences, 28 (3). pp. 409-420. ISSN 0252-2667 http://dx.doi.org/10.1080/02522667.2007.10699750 DOI:10.1080/02522667.2007.10699750 |
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QA75 Electronic computers. Computer science Idris, Mohd. Yazid Abdullah, Abdul Hanan Maarof, Mohd. Aizaini Fast optimization method : the window size and hurst parameter estimator on self-similar network traffic |
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This paper describes a version of the fast optimization method (FOM) used to estimate the Hurst parameter (H) with appropriate window sizes in self-similar network traffic. Large or short window sizes, for example, may cause the results to become unreliable. Estimating window sizes requires that the estimation process be repeated, such as in iterative optimization method (IOM) and will result in the high consumption of CPU time. This paper empirically compares the CPU time and the estimation results using both the FOM and IOM methods. Finally, it shows that the FOM outperforms the IOM in that it significantly reduces total CPU time and maintains the reliability of the estimation results. |
format |
Article |
author |
Idris, Mohd. Yazid Abdullah, Abdul Hanan Maarof, Mohd. Aizaini |
author_facet |
Idris, Mohd. Yazid Abdullah, Abdul Hanan Maarof, Mohd. Aizaini |
author_sort |
Idris, Mohd. Yazid |
title |
Fast optimization method : the window size and hurst parameter estimator on self-similar network traffic |
title_short |
Fast optimization method : the window size and hurst parameter estimator on self-similar network traffic |
title_full |
Fast optimization method : the window size and hurst parameter estimator on self-similar network traffic |
title_fullStr |
Fast optimization method : the window size and hurst parameter estimator on self-similar network traffic |
title_full_unstemmed |
Fast optimization method : the window size and hurst parameter estimator on self-similar network traffic |
title_sort |
fast optimization method : the window size and hurst parameter estimator on self-similar network traffic |
publisher |
Taru Publications, New Delhi |
publishDate |
2007 |
url |
http://eprints.utm.my/id/eprint/5032/ http://dx.doi.org/10.1080/02522667.2007.10699750 |
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13.211869 |