| Adaptive Combiner for MapReduce on cloud computing | |
|---|---|
| 學年 | 102 |
| 學期 | 2 |
| 出版（發表）日期 | 2014-03-11 |
| 作品名稱 | Adaptive Combiner for MapReduce on cloud computing |
| 作品名稱（其他語言） | |
| 著者 | Lee, Wei-Tsong |
| 單位 | 淡江大學電機工程學系 |
| 出版者 | New York: Springer New York LLC |
| 著錄名稱、卷期、頁數 | Cluster Computing 17(4), p.1231-1252 |
| 摘要 | MapReduce is a programming model to process a massive amount of data on cloud computing. MapReduce processes data in two phases and needs to transfer intermediate data among computers between phases. MapReduce allows programmers to aggregate intermediate data with a function named combiner before transferring it. By leaving programmers the choice of using a combiner, MapReduce has a risk of performance degradation because aggregating intermediate data benefits some applications but harms others. Now, MapReduce can work with our proposal named the Adaptive Combiner for MapReduce (ACMR) to automatically, smartly, and trainer for getting a better performance without any interference of programmers. In experiments on seven applications, MapReduce can utilize ACMR to get the performance comparable to the system that is optimal for an application. |
| 關鍵字 | MapReduce;Combiner;Cloud computing;ACMR |
| 語言 | en |
| ISSN | 1573-7543 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | NLD |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/99028 ) |
| SDGS | 產業創新與基礎設施 |
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