關鍵字查詢 | 類別:會議論文 | | 關鍵字:Adaptive Job Assign Algorithm Based on Hierarchical Server 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 Adaptive Job Assign Algorithm Based on Hierarchical Server Cloud Computing , [103-1] :Adaptive Job Assign Algorithm Based on Hierarchical Server Cloud Computing會議論文Adaptive Job Assign Algorithm Based on Hierarchical Server Cloud ComputingQiu, Jing-Yue; Wei, Hsin-Wen; Lee, Wei-Tsong; Lin, Yu-Chang淡江大學電機工程學系The size of data used by enterprises, academia and sciences in recently years has been growing at an exponential rate day by day. Simultaneously, the requirement to process and analyze the large quality of data is also increased. In the previous method, a single computer or a small number of computers cannot process and monitor these large amounts of data, but cloud system can handle the requirement and reduce the costs of data processing now. Therefore, lots of enterprises use the cloud system to process this problem. A basic framework of the cloud system is MapReduce. User must configure the relative setting including the number of computers and virtual machines before running the MapReduce. Each data size is not the same, and users may claim more or less computers a
2 103/1 電機系 李維聰 教授 會議論文 發佈 Adaptive Job Assign Algorithm Based on Hierarchical Server Cloud Computing , [103-1] :Adaptive Job Assign Algorithm Based on Hierarchical Server Cloud Computing會議論文Adaptive Job Assign Algorithm Based on Hierarchical Server Cloud ComputingQiu, Jing-Yue; Wei, Hsin-Wen; Lee, Wei-Tsong; Lin, Yu-Chang淡江大學電機工程學系The size of data used by enterprises, academia and sciences in recently years has been growing at an exponential rate day by day. Simultaneously, the requirement to process and analyze the large quality of data is also increased. In the previous method, a single computer or a small number of computers cannot process and monitor these large amounts of data, but cloud system can handle the requirement and reduce the costs of data processing now. Therefore, lots of enterprises use the cloud system to process this problem. A basic framework of the cloud system is MapReduce. User must configure the relative setting including the number of computers and virtual machines before running the MapReduce. Each data size is not the same, and users may claim more or less computers a
[第一頁][上頁]1[次頁][最末頁]目前在第 1 頁 / 共有 02 筆查詢結果