A simple cluster-scaling policy for MapReduce clouds

Sheng Wei Huang, Ce Kuen Shieh, Syue Ru Lyu, Tzu Chi Huang, Chien Sheng Chen, Ping Fan Ho, Ming Fong Tsai

研究成果: Conference contribution

摘要

Due to the rise of cloud computing, many cloud services have been developed. Google proposed a programming model called MapReduce for processing large amounts of data. After YAHOO! proposed Hadoop, many companies and enterprises have started using this programming model to establish their own cluster for handling large amounts of data.

原文English
主出版物標題2013 International Symposium on Wireless and Pervasive Computing, ISWPC 2013
DOIs
出版狀態Published - 2013 十二月 1
事件2013 International Symposium on Wireless and Pervasive Computing, ISWPC 2013 - Taipei, Taiwan
持續時間: 2013 十一月 202013 十一月 22

出版系列

名字2013 International Symposium on Wireless and Pervasive Computing, ISWPC 2013

Other

Other2013 International Symposium on Wireless and Pervasive Computing, ISWPC 2013
國家Taiwan
城市Taipei
期間13-11-2013-11-22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software

指紋 深入研究「A simple cluster-scaling policy for MapReduce clouds」主題。共同形成了獨特的指紋。

  • 引用此

    Huang, S. W., Shieh, C. K., Lyu, S. R., Huang, T. C., Chen, C. S., Ho, P. F., & Tsai, M. F. (2013). A simple cluster-scaling policy for MapReduce clouds. 於 2013 International Symposium on Wireless and Pervasive Computing, ISWPC 2013 [6707441] (2013 International Symposium on Wireless and Pervasive Computing, ISWPC 2013). https://doi.org/10.1109/ISWPC.2013.6707441