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Designing a Hadoop system based on computational resources and network delay for wide area networks

Author

Listed:
  • Tomohiro Matsuno

    (The University of Electro-Communications)

  • Bijoy Chand Chatterjee

    (The University of Electro-Communications
    Indraprastha Institute of Information Technology)

  • Nattapong Kitsuwan

    (The University of Electro-Communications)

  • Eiji Oki

    (The University of Electro-Communications
    Kyoto University)

  • Malathi Veeraraghavan

    (University of Virginia)

  • Satoru Okamoto

    (Keio University)

  • Naoaki Yamanaka

    (Keio University)

Abstract

This paper proposes a Hadoop system that considers both slave server’s processing capacity and network delay for wide area networks to reduce the job processing time. The task allocation scheme in the proposed Hadoop system divides each individual job into multiple tasks using suitable splitting ratios and then allocates the tasks to different slaves according to the computational capability of each server and the availability of network resources. We incorporate software-defined networking to the proposed Hadoop system to manage path computation elements and network resources. The performance of proposed Hadoop system is experimentally evaluated with fourteen machines located in the different parts of the globe using a scale-out approach. A scale-out experiment using the proposed and conventional Hadoop systems is conducted by executing both single job and multiple jobs. The practical testbed and simulation results indicate that the proposed Hadoop system is effective compared to the conventional Hadoop system in terms of processing time.

Suggested Citation

  • Tomohiro Matsuno & Bijoy Chand Chatterjee & Nattapong Kitsuwan & Eiji Oki & Malathi Veeraraghavan & Satoru Okamoto & Naoaki Yamanaka, 2019. "Designing a Hadoop system based on computational resources and network delay for wide area networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 70(1), pages 13-25, January.
    • Handle: RePEc:spr:telsys:v:70:y:2019:i:1:d:10.1007_s11235-018-0464-y
    DOI: 10.1007/s11235-018-0464-y
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