A novel monitoring mechanism by event trigger for Hadoop system performance analysis

Authors

  • Chih-Shan Liao,

    1. Department of Computer Science and Information Engineering, National Dong Hwa University 1, Shou-Feng, Hualien 974, Taiwan
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  • Chen-Po Chuang,

    1. Department of Computer Science and Information Engineering, National Dong Hwa University 1, Shou-Feng, Hualien 974, Taiwan
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  • Ruay-Shiung Chang

    Corresponding author
    1. Department of Computer Science and Information Engineering, National Dong Hwa University 1, Shou-Feng, Hualien 974, Taiwan
    • Correspondence to: Ruay-Shiung Chang, Department of Computer Science and Information Engineering National Dong Hwa University 1, Sec. 2, Da Hsueh Rd., Shou-Feng, Hualien 974, Taiwan.

      E-mail: rschang@mail.ndhu.edu.tw

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SUMMARY

Cloud computing has become more and more popular nowadays since it possesses various conveniences such as pay as you go, dynamically deployment, and high efficiency. A numbers of cloud computing platforms are now in the market. Apache Hadoop, an open-source platform, is one of these platforms which has been widely used by companies and organizations, because it is free for both research and production. From the perspective of service providers, it is better to see infrastructure running at the lowest possible power consumption and in the same time satisfying the QoS. From the viewpoint of the service clients, it is also the best situation that all functions they desire are running well at the lowest service cost. By putting ourselves in their shoes, in this paper, we propose the event trigger, which provides an automatic event recording mechanism. The event trigger applies the recorded parameters onto an easy-understanding visual graph. By doing so, users will be able to adjust their deployment of hardware resource through a simple and straightforward understanding of their system performance records. Copyright © 2013 John Wiley & Sons, Ltd.

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