會議論文
| 學年 | 103 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2014-10-22 |
| 作品名稱 | Shareability and Locality Aware Scheduling Algorithm in Hadoop for Mobile Cloud Computing |
| 作品名稱（其他語言） | |
| 著者 | Wei, Hsin-Wen; Hsu, Che-Wei; Wu, Tin-Yu; Lee, Wei-Tsong |
| 作品所屬單位 | 淡江大學電機工程學系 |
| 出版者 | 高雄市：高雄應用科技大學 |
| 會議名稱 | 2014TANET 臺灣網際網路研討會 |
| 會議地點 | 高雄市, 台灣 |
| 摘要 | Using different scheduling algorithms can affect the performance of mobile cloud computing using Hadoop MapReduce framework. In Hadoop MapReduce framework, the default scheduling algorithm is First-InFirst-Out (FIFO). However, the FIFO scheduler simply schedules tasks according to their arrival time and does not consider any other factors that may have great impact on system performance. As a result, FIFO cannot achieve good performance in Hadoop for mobile cloud computing. In this paper, we propose a novel scheduling algorithm, called FSLA (FIFO with Shareability and Locality Aware). FSLA is a FIFObased scheduling policy that considers locality of required data and data sharing probability between tasks. The tasks requesting the same data can be gathered, easily batch processed, and thus reduce the overhead of transferring data between data nodes and computations nodes. The simulation results show that compared to FIFO, FSLA can reach 65% improvement in system performance. |
| 關鍵字 | mobile cloud computing; Hadoop; Map Reduce |
| 語言 | en_US |
| 收錄於 | |
| 會議性質 | 國內 |
| 校內研討會地點 | |
| 研討會時間 | 20141022~20141024 |
| 通訊作者 | |
| 國別 | TWN |
| 公開徵稿 | Y |
| 出版型式 | 紙本 |
| 出處 | TANET2014 臺灣網際網路研討會論文集 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/99976 ) |