Shareability and Locality Aware Scheduling Algorithm in Hadoop for Mobile Cloud Computing
學年 104
學期 1
出版（發表）日期 2015-11-02
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 Hsin-Wen Wei; Tin-Yu Wu; Wei-Tsong Lee; Che-Wei Hsu
單位
出版者
著錄名稱、卷期、頁數 Journal of Information Hiding and Multimedia Signal Processing 6(6), pp.1215-1230
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-In-First-Out (FIFO). However, the FIFO scheduler simply schedules task according to its 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 FIFO-based 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 Hadoop MapReduce;Shareability;Locality aware scheduling algorithm;Mobile cloud computing
語言 en_US
ISSN 2073-4212 2073-4239
期刊性質 國內
收錄於 EI
產學合作
通訊作者
審稿制度 否
國別 TWN
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/987654321/107086 )

SDGS 產業創新與基礎設施