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Architecture for speeding up program execution with cloud technology

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Abstract

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.

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Acknowledgments

We thank the Ministry of Science and Technology of Taiwan for supports of this project under Grant number MOST 104-2221-E-262-006 and MOST104-2221-E-035-021. Besides, we thank coauthors and reviewers for their valuable opinions.

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Authors and Affiliations

  1. Department of Electronic Engineering, Lunghwa University of Science and Technology, Taoyuan, Taiwan

    Tzu-Chi Huang

  2. Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan

    Ce-Kuen Shieh

  3. Department of Computer Science and Engineering, La Trobe University, Melbourne, Australia

    Naveen Chilamkurti

  4. Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan

    Ming-Fong Tsai

  5. Department of Multimedia, Sungkyul University, Anyang, Korea

    Seungmin Rho

Authors
  1. Tzu-Chi Huang
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  2. Ce-Kuen Shieh
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  3. Naveen Chilamkurti
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  4. Ming-Fong Tsai
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  5. Seungmin Rho
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Corresponding authors

Correspondence to Naveen Chilamkurti or Seungmin Rho.

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Huang, TC., Shieh, CK., Chilamkurti, N. et al. Architecture for speeding up program execution with cloud technology. J Supercomput 72, 3601–3618 (2016). https://doi.org/10.1007/s11227-016-1715-x

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  • DOI: https://doi.org/10.1007/s11227-016-1715-x

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