Predictive Data Allocation and Cache Replacement Mechanisms for Wireless Multimedia Information Systems
碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 91 === Accessing multimedia data under wireless communication network is more and more popular because of the increased bandwidth. However, with the bandwidth is getting wider, the multimedia data size is growing even faster. When users request multimedia data at the...
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ndltd-TW-091NCKU53920202016-06-22T04:13:47Z http://ndltd.ncl.edu.tw/handle/90948719410432570264 Predictive Data Allocation and Cache Replacement Mechanisms for Wireless Multimedia Information Systems 適用於無線多媒體系統的預測性資料配置暨快取置換機制 Kuo-Chen Wu 吳國禎 碩士 國立成功大學 資訊工程學系碩博士班 91 Accessing multimedia data under wireless communication network is more and more popular because of the increased bandwidth. However, with the bandwidth is getting wider, the multimedia data size is growing even faster. When users request multimedia data at the peak time, even the fixed network translation between base-stations will be overloaded. In this research, we propose a data mining-based method, namely PPCR(Predicted Preload and Cache Replacement), to predict the users’ future locations and requested multimedia services under wireless communication environments. Based on the mined user access patterns, the predicted service contents will be allocated and pre-loaded into the cache in the predicted locations such that the response time for user’s requests can be reduced. Meanwhile, we also propose a cache replacement mechanism that considers more issues than traditional cache replacement policies, like the multimedia data size and the accessing probability of the data. Though experimental evaluation, PPCR was shown to outperform other methods in reducing the uses’ response time when accessing multimedia data under wireless environments. Shin-Mu Tseng 曾新穆 2003 學位論文 ; thesis 92 zh-TW |
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碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 91 === Accessing multimedia data under wireless communication network is more and more popular because of the increased bandwidth. However, with the bandwidth is getting wider, the multimedia data size is growing even faster. When users request multimedia data at the peak time, even the fixed network translation between base-stations will be overloaded. In this research, we propose a data mining-based method, namely PPCR(Predicted Preload and Cache Replacement), to predict the users’ future locations and requested multimedia services under wireless communication environments. Based on the mined user access patterns, the predicted service contents will be allocated and pre-loaded into the cache in the predicted locations such that the response time for user’s requests can be reduced. Meanwhile, we also propose a cache replacement mechanism that considers more issues than traditional cache replacement policies, like the multimedia data size and the accessing probability of the data. Though experimental evaluation, PPCR was shown to outperform other methods in reducing the uses’ response time when accessing multimedia data under wireless environments.
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Shin-Mu Tseng |
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Shin-Mu Tseng Kuo-Chen Wu 吳國禎 |
author |
Kuo-Chen Wu 吳國禎 |
spellingShingle |
Kuo-Chen Wu 吳國禎 Predictive Data Allocation and Cache Replacement Mechanisms for Wireless Multimedia Information Systems |
author_sort |
Kuo-Chen Wu |
title |
Predictive Data Allocation and Cache Replacement Mechanisms for Wireless Multimedia Information Systems |
title_short |
Predictive Data Allocation and Cache Replacement Mechanisms for Wireless Multimedia Information Systems |
title_full |
Predictive Data Allocation and Cache Replacement Mechanisms for Wireless Multimedia Information Systems |
title_fullStr |
Predictive Data Allocation and Cache Replacement Mechanisms for Wireless Multimedia Information Systems |
title_full_unstemmed |
Predictive Data Allocation and Cache Replacement Mechanisms for Wireless Multimedia Information Systems |
title_sort |
predictive data allocation and cache replacement mechanisms for wireless multimedia information systems |
publishDate |
2003 |
url |
http://ndltd.ncl.edu.tw/handle/90948719410432570264 |
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