教師資料查詢 | 類別: 會議論文 | 教師: 李維聰 Wei-tsong Lee (瀏覽個人網頁)

標題:Adaptive Job Assign Algorithm Based on Hierarchical Server Cloud Computing
學年
學期
發表日期2014/08/27
作品名稱Adaptive Job Assign Algorithm Based on Hierarchical Server Cloud Computing
作品名稱(其他語言)
著者Qiu, Jing-Yue; Wei, Hsin-Wen; Lee, Wei-Tsong; Lin, Yu-Chang
作品所屬單位淡江大學電機工程學系
出版者
會議名稱International Conference on Communications and Robotics 2014 (CARE'14)
會議地點Kokura, Japan
摘要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 and virtual machines than they need, and waste cloud resources or run out of resources. When the job is put in to cloud system, at first, it is processed by a single node for a period of time and if the node detects that the job cannot be completed within the period of time, the node ask another to share the computation. Then, all nodes continue processing until the end of the job. Therefore we proposed mechanism constructs hierarchical dynamic configuration of cloud system (HDCOCS) to efficiently use the resources in the cloud.
關鍵字
語言英文(美國)
收錄於
會議性質國際
校內研討會地點
研討會時間20140827~20140829
通訊作者
國別日本
公開徵稿Y
出版型式紙本
出處
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