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Web-Based Heatmap of Physical Machines in Cloud Computing

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Trustworthy Computing and Services (ISCTCS 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 520))

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Abstract

Cloud computing has become a flexible infrastructure for a variety of companies and organizations to develop and deploy their products. To provide a vision of physical machines for administrators and customers, this paper proposes a web-base heatmap of physical machines in cloud computing. It employs the browser-server architecture and utilizes distributed and asynchronous technologies to collect the temperature data. It divides the progress of heatmap drawing and keeps the user updated. It was tested in an experimental environment, the results show it functions well and achieves its goal.

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References

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Acknowledgments

This research was supported in part by the National Natural Science Foundation of China under grant No. 61202041 and No. 61173039. Thanks for the great help.

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Authors and Affiliations

  1. Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China

    Heng Chen & Xiaoshe Dong

Authors
  1. Heng Chen
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  2. Xiaoshe Dong
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Corresponding author

Correspondence to Heng Chen .

Editor information

Editors and Affiliations

  1. Beijing University of Posts and Telecommuncations, Beijing, China

    Lu Yueming

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Wu Xu

  3. Beijing University of Posts and Telecommunications, Beijing, China

    Zhang Xi

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© 2015 Springer-Verlag Berlin Heidelberg

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Chen, H., Dong, X. (2015). Web-Based Heatmap of Physical Machines in Cloud Computing. In: Yueming, L., Xu, W., Xi, Z. (eds) Trustworthy Computing and Services. ISCTCS 2014. Communications in Computer and Information Science, vol 520. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47401-3_14

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  • DOI: https://doi.org/10.1007/978-3-662-47401-3_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47400-6

  • Online ISBN: 978-3-662-47401-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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