| 作成者 |
|
|
|
|
|
|
|
|
|
|
|
| 本文言語 |
|
| 出版者 |
|
|
|
| 発行日 |
|
| 収録物名 |
|
| 巻 |
|
| 号 |
|
| 開始ページ |
|
| 終了ページ |
|
| 出版タイプ |
|
| アクセス権 |
|
| JaLC DOI |
|
| 関連DOI |
|
| 関連URI |
|
| 関連情報 |
|
| 概要 |
Performance is a major issue in the acceptance of database, especially for the database holding massive data. It's natural to apply parallel technology to handle these large data sets. ShusseUo is an ...Object Database Management Systems (ODBMSs) and it provides persistent global object management on persistent Distributed Shared Virtual Memory (DSVM) distributed on Network Of Workstations (NOWs). This paper introduces the performance evaluation of ShusseUo using extended Sequoia 2000 benchmark. The goal is to test the scalability and speedup of ShusseUo while dealing with mass size of extended spatial benchmark data in parallel. Experiments show that good scalability and speedup can be gotten by ShusseUo.続きを見る
|
Mendeley出力
