Data Placement for Wireless Broadcast Under New Affinity Model

碩士 === 南華大學 === 資訊管理學研究所 === 93 ===   In order to adapt to a large number of client can receive data quickly, data placement in wireless broadcast environment act an importance role. For System with multipoint queries, data records which queried by same query are broadcasted contiguously to reduce t...

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Main Authors: Ming-hao Tsai, 蔡閔皓
Other Authors: Der-chian Tsaih
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/80156542545919556514
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spelling ndltd-TW-093NHU053960322015-10-13T15:01:31Z http://ndltd.ncl.edu.tw/handle/80156542545919556514 Data Placement for Wireless Broadcast Under New Affinity Model 以相似度模式為基礎的無線廣播資料配置 Ming-hao Tsai 蔡閔皓 碩士 南華大學 資訊管理學研究所 93   In order to adapt to a large number of client can receive data quickly, data placement in wireless broadcast environment act an importance role. For System with multipoint queries, data records which queried by same query are broadcasted contiguously to reduce the average access time. Several techniques have been used in clustering the data by defining the affinity between the data records. The data affinity function defined was mainly aiming at minimizing Query Distance. However, in order to minimize the average access time, we propose a Minimum Gap which merge relevant segments base on affinity function. Through experiments, the result show not only the query’s access time can be reduced by using our affinity function. Der-chian Tsaih 蔡德謙 2005 學位論文 ; thesis 61 zh-TW
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description 碩士 === 南華大學 === 資訊管理學研究所 === 93 ===   In order to adapt to a large number of client can receive data quickly, data placement in wireless broadcast environment act an importance role. For System with multipoint queries, data records which queried by same query are broadcasted contiguously to reduce the average access time. Several techniques have been used in clustering the data by defining the affinity between the data records. The data affinity function defined was mainly aiming at minimizing Query Distance. However, in order to minimize the average access time, we propose a Minimum Gap which merge relevant segments base on affinity function. Through experiments, the result show not only the query’s access time can be reduced by using our affinity function.
author2 Der-chian Tsaih
author_facet Der-chian Tsaih
Ming-hao Tsai
蔡閔皓
author Ming-hao Tsai
蔡閔皓
spellingShingle Ming-hao Tsai
蔡閔皓
Data Placement for Wireless Broadcast Under New Affinity Model
author_sort Ming-hao Tsai
title Data Placement for Wireless Broadcast Under New Affinity Model
title_short Data Placement for Wireless Broadcast Under New Affinity Model
title_full Data Placement for Wireless Broadcast Under New Affinity Model
title_fullStr Data Placement for Wireless Broadcast Under New Affinity Model
title_full_unstemmed Data Placement for Wireless Broadcast Under New Affinity Model
title_sort data placement for wireless broadcast under new affinity model
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/80156542545919556514
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