A Novel Wavelet-Based Approach to Enhance the Performance of Mobile-Business Systems
We propose a novel wavelet-based approach (WBA) that accurately decides if the Internet traffic is currently SRD (short-range dependence) or LRD (long-range dependence) on the fly. As a result, it helps a real-time dynamic cache size tuner such as the MACSC (Model for Adaptive Cache Size Control) ma...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2010
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/3166 |
| _version_ | 1848744157099589632 |
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| author | Lin, W. Wong, A. Dillon, Tharam S. Chang, Elizabeth |
| author2 | Leila Ismail |
| author_facet | Leila Ismail Lin, W. Wong, A. Dillon, Tharam S. Chang, Elizabeth |
| author_sort | Lin, W. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | We propose a novel wavelet-based approach (WBA) that accurately decides if the Internet traffic is currently SRD (short-range dependence) or LRD (long-range dependence) on the fly. As a result, it helps a real-time dynamic cache size tuner such as the MACSC (Model for Adaptive Cache Size Control) maintain the given cache hit ratio under all Internet traffic conditions. The WBA mechanism utilizes the following unique characteristics of wavelet coefficients (WC) for stationary signals f(x) : i) WC values by discrete wavelet transform (DWT), irrespective to if f(x) is SRD or LRD, are always SRD; ii) if f(x) is LRD then the WC variances scale divergently with the dilation factor; and iii) WC variances of SRD signals, however, converge to a constant. The DWT process is Dj,k = (f(x) , (J)j,k) or += Tji2 f f(x)w(Tj X - k)dx formally, where Dj,k arethe WC values, (J)j.k the mother wavelet, j the dilation factor/scale, and k the translation factor. |
| first_indexed | 2025-11-14T05:57:00Z |
| format | Conference Paper |
| id | curtin-20.500.11937-3166 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T05:57:00Z |
| publishDate | 2010 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-31662022-12-09T07:12:35Z A Novel Wavelet-Based Approach to Enhance the Performance of Mobile-Business Systems Lin, W. Wong, A. Dillon, Tharam S. Chang, Elizabeth Leila Ismail Elizabeth Chang Achim P Karduck WB DWT MACSC stationary signal dynamic cache size tuning wavelet We propose a novel wavelet-based approach (WBA) that accurately decides if the Internet traffic is currently SRD (short-range dependence) or LRD (long-range dependence) on the fly. As a result, it helps a real-time dynamic cache size tuner such as the MACSC (Model for Adaptive Cache Size Control) maintain the given cache hit ratio under all Internet traffic conditions. The WBA mechanism utilizes the following unique characteristics of wavelet coefficients (WC) for stationary signals f(x) : i) WC values by discrete wavelet transform (DWT), irrespective to if f(x) is SRD or LRD, are always SRD; ii) if f(x) is LRD then the WC variances scale divergently with the dilation factor; and iii) WC variances of SRD signals, however, converge to a constant. The DWT process is Dj,k = (f(x) , (J)j,k) or += Tji2 f f(x)w(Tj X - k)dx formally, where Dj,k arethe WC values, (J)j.k the mother wavelet, j the dilation factor/scale, and k the translation factor. 2010 Conference Paper http://hdl.handle.net/20.500.11937/3166 10.1109/DEST.2010.5610660 IEEE fulltext |
| spellingShingle | WB DWT MACSC stationary signal dynamic cache size tuning wavelet Lin, W. Wong, A. Dillon, Tharam S. Chang, Elizabeth A Novel Wavelet-Based Approach to Enhance the Performance of Mobile-Business Systems |
| title | A Novel Wavelet-Based Approach to Enhance the Performance of Mobile-Business Systems |
| title_full | A Novel Wavelet-Based Approach to Enhance the Performance of Mobile-Business Systems |
| title_fullStr | A Novel Wavelet-Based Approach to Enhance the Performance of Mobile-Business Systems |
| title_full_unstemmed | A Novel Wavelet-Based Approach to Enhance the Performance of Mobile-Business Systems |
| title_short | A Novel Wavelet-Based Approach to Enhance the Performance of Mobile-Business Systems |
| title_sort | novel wavelet-based approach to enhance the performance of mobile-business systems |
| topic | WB DWT MACSC stationary signal dynamic cache size tuning wavelet |
| url | http://hdl.handle.net/20.500.11937/3166 |