A Transparent On-Demand Co-Allocation Scheme for Data Grids
碩士 === 國立成功大學 === 電腦與通信工程研究所 === 96 === With the conventional data grid system, a data-intensive application usually accesses data by using either the pre-staging scheme or the fragmented data sharing scheme. The pre-staging scheme simultaneously downloads an entire shared file from multiple data so...
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ndltd-TW-096NCKU56521142015-11-23T04:03:11Z http://ndltd.ncl.edu.tw/handle/39333086838544007746 A Transparent On-Demand Co-Allocation Scheme for Data Grids 需求導向的透通格網資料協同配置機制之研究 Yi-Sheng Lin 林益聖 碩士 國立成功大學 電腦與通信工程研究所 96 With the conventional data grid system, a data-intensive application usually accesses data by using either the pre-staging scheme or the fragmented data sharing scheme. The pre-staging scheme simultaneously downloads an entire shared file from multiple data sources even when only a tiny file fragment is required. Obviously, the pre-staging scheme consumes unnecessary data transmission time and storage space. The fragmented data sharing scheme, on the other hand, downloads only the necessary fragments from a single data source. However, the fragmented data sharing scheme does not fully exploit available network bandwidth. Accordingly, this thesis presents a data sharing system which uses a hybrid scheme, designated as the On-Demand Co-Allocation scheme (ODCA). The ODCA scheme uses multiple data streams to concurrently fetch different necessary file fragment, thereby reducing data transmission time, wasted network bandwidth and required storage space. Beside, the ODCA scheme provides a transparency that facilitates the grid-unaware applications can use the Data Grid without any modification or re-compiling. Experimental results show the ODCA scheme successfully reduces turnaround time in data-intensive applications. Jyh-Biau Chang Ce-Kuen Shieh 張志標 謝錫堃 2008 學位論文 ; thesis 51 en_US |
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碩士 === 國立成功大學 === 電腦與通信工程研究所 === 96 === With the conventional data grid system, a data-intensive application usually accesses data by using either the pre-staging scheme or the fragmented data sharing scheme. The pre-staging scheme simultaneously downloads an entire shared file from multiple data sources even when only a tiny file fragment is required. Obviously, the pre-staging scheme consumes unnecessary data transmission time and storage space. The fragmented data sharing scheme, on the other hand, downloads only the necessary fragments from a single data source. However, the fragmented data sharing scheme does not fully exploit available network bandwidth. Accordingly, this thesis presents a data sharing system which uses a hybrid scheme, designated as the On-Demand Co-Allocation scheme (ODCA). The ODCA scheme uses multiple data streams to concurrently fetch different necessary file fragment, thereby reducing data transmission time, wasted network bandwidth and required storage space. Beside, the ODCA scheme provides a transparency that facilitates the grid-unaware applications can use the Data Grid without any modification or re-compiling. Experimental results show the ODCA scheme successfully reduces turnaround time in data-intensive applications.
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author2 |
Jyh-Biau Chang |
author_facet |
Jyh-Biau Chang Yi-Sheng Lin 林益聖 |
author |
Yi-Sheng Lin 林益聖 |
spellingShingle |
Yi-Sheng Lin 林益聖 A Transparent On-Demand Co-Allocation Scheme for Data Grids |
author_sort |
Yi-Sheng Lin |
title |
A Transparent On-Demand Co-Allocation Scheme for Data Grids |
title_short |
A Transparent On-Demand Co-Allocation Scheme for Data Grids |
title_full |
A Transparent On-Demand Co-Allocation Scheme for Data Grids |
title_fullStr |
A Transparent On-Demand Co-Allocation Scheme for Data Grids |
title_full_unstemmed |
A Transparent On-Demand Co-Allocation Scheme for Data Grids |
title_sort |
transparent on-demand co-allocation scheme for data grids |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/39333086838544007746 |
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