東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Intelligent prefetching and caching ...

Hu, Gang.

FindBook

Google Book

Amazon

博客來

Intelligent prefetching and caching for scientific data mining in the middleware GAMine.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent prefetching and caching for scientific data mining in the middleware GAMine./
作者:	Hu, Gang.
面頁冊數:	77 p.
附註:	Source: Masters Abstracts International, Volume: 44-01, page: 0393.
Contained By:	Masters Abstracts International44-01.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR04953
ISBN:	9780494049532

Intelligent prefetching and caching for scientific data mining in the middleware GAMine.
Hu, Gang.

Intelligent prefetching and caching for scientific data mining in the middleware GAMine. - 77 p.

Source: Masters Abstracts International, Volume: 44-01, page: 0393.

Thesis (M.Sc.)--University of Windsor (Canada), 2005.

Scientific data mining applications are widespread in different scientific fields. They are composed of huge datasets, complicated algorithms and often deployed on high performance parallel platforms. Especially, the increasingly large-scale data sets cause the data access to be the most time-consuming stage of the overall execution time. Caching and prefetching can be used to enhance the efficiency of data access to improve the applications' performance. Traditional OS's file system's caching and prefetching strategies as well other enhanced approaches ignore the applications' runtime situation. As a result, not all data retrieval latency can be hidden, or cache units have to be larger if data access is remote.

ISBN: 9780494049532Subjects--Topical Terms:

626642
Computer Science.

Intelligent prefetching and caching for scientific data mining in the middleware GAMine.
LDR:02548nmm 2200277 4500 001 1821688
005 20061113090130.5
008 130610s2005 eng d
020 $a 9780494049532
035 $a (UnM)AAIMR04953
035 $a AAIMR04953
040 $a UnM $c UnM
100 1 $a Hu, Gang. $3 1910855
245 1 0 $a Intelligent prefetching and caching for scientific data mining in the middleware GAMine.
300 $a 77 p.
500 $a Source: Masters Abstracts International, Volume: 44-01, page: 0393.
502 $a Thesis (M.Sc.)--University of Windsor (Canada), 2005.
520 $a Scientific data mining applications are widespread in different scientific fields. They are composed of huge datasets, complicated algorithms and often deployed on high performance parallel platforms. Especially, the increasingly large-scale data sets cause the data access to be the most time-consuming stage of the overall execution time. Caching and prefetching can be used to enhance the efficiency of data access to improve the applications' performance. Traditional OS's file system's caching and prefetching strategies as well other enhanced approaches ignore the applications' runtime situation. As a result, not all data retrieval latency can be hidden, or cache units have to be larger if data access is remote.
520 $a The first step of our approach is to build a middleware---GAMine, which is independent of data sets and applications and provides a generic data access optimization strategy for scientific data mining applications. It supports both client/server and peer-to-peer architectures, and has a flexible, symmetric design.
520 $a Secondly, within our GAMine, the prefetching strategy exploits the knowledge of access patterns and system parameters (latency and throughput) to set the preferred prefetch depth. In addition, GAMine can be told to select different caching policies according to different access patterns and architectures. As a result, the middleware can hide more latency and avoid cache pollution.
520 $a Finally, GAMine can monitor the data consumption rate and the data delivery rate to set the prefetch depth dynamically to the optimal value as regards latency hiding and the cache size. Thus even in the dynamic situation, the latency can still be hidden at anytime due to the middleware's adaptation.
590 $a School code: 0115.
650 4 $a Computer Science. $3 626642
690 $a 0984
710 2 0 $a University of Windsor (Canada). $3 1018526
773 0 $t Masters Abstracts International $g 44-01.
790 $a 0115
791 $a M.Sc.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR04953