Architecture for speeding up program execution with cloud technology

Tzu Chi Huang, Ce Kuen Shieh, Naveen Chilamkurti, Ming Fong Tsai, Seungmin Rho

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)


Cloud technology uses MapReduce to make computers quickly process a huge amount of data with plentiful resources in clouds, but requires that applications should be developed or reprogrammed to process data in a batch mode of MapReduce. By our solution addressed in this paper, cloud technology no longer poses application writers because our ASPECT solution can: (1) free application writers from burdens of developing or reprogramming an application in the MapReduce programming model; (2) keep the existing application processing data as usual without switching to the batch mode of processing data in MapReduce, and (3) speed up the execution of the application in clouds by reusing or sharing run-time data with other instances of the application.

頁(從 - 到)3601-3618
期刊Journal of Supercomputing
出版狀態Published - 2016 9月 1

All Science Journal Classification (ASJC) codes

  • 軟體
  • 理論電腦科學
  • 資訊系統
  • 硬體和架構


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