關鍵字查詢 | 類別:會議論文 | | 關鍵字:Shareability and Locality Aware Scheduling Algorithm in Hadoop for Mobile Cloud Computing

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序號 學年期 教師動態
1 103/1 電機系 衛信文 副教授 會議論文 發佈 Shareability and Locality Aware Scheduling Algorithm in Hadoop for Mobile Cloud Computing , [103-1] :Shareability and Locality Aware Scheduling Algorithm in Hadoop for Mobile Cloud Computing會議論文Shareability and Locality Aware Scheduling Algorithm in Hadoop for Mobile Cloud ComputingWei, Hsin-Wen; Hsu, Che-Wei; Wu, Tin-Yu; Lee, Wei-Tsong淡江大學電機工程學系mobile cloud computing; Hadoop; Map Reduce高雄市:高雄應用科技大學TANET2014 臺灣網際網路研討會論文集教育部資訊及科技教育司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
2 103/1 電機系 吳庭育 助理教授 會議論文 發佈 Shareability and Locality Aware Scheduling Algorithm in Hadoop for Mobile Cloud Computing , [103-1] :Shareability and Locality Aware Scheduling Algorithm in Hadoop for Mobile Cloud Computing會議論文Shareability and Locality Aware Scheduling Algorithm in Hadoop for Mobile Cloud ComputingWei, Hsin-Wen; Hsu, Che-Wei; Wu, Tin-Yu; Lee, Wei-Tsong淡江大學電機工程學系mobile cloud computing; Hadoop; Map Reduce高雄市:高雄應用科技大學TANET2014 臺灣網際網路研討會論文集教育部資訊及科技教育司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
3 103/1 電機系 李維聰 教授 會議論文 發佈 Shareability and Locality Aware Scheduling Algorithm in Hadoop for Mobile Cloud Computing , [103-1] :Shareability and Locality Aware Scheduling Algorithm in Hadoop for Mobile Cloud Computing會議論文Shareability and Locality Aware Scheduling Algorithm in Hadoop for Mobile Cloud ComputingWei, Hsin-Wen; Hsu, Che-Wei; Wu, Tin-Yu; Lee, Wei-Tsong淡江大學電機工程學系mobile cloud computing; Hadoop; Map Reduce高雄市:高雄應用科技大學TANET2014 臺灣網際網路研討會論文集教育部資訊及科技教育司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
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