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International Conference of Young Computer Scientists, Engineers and Educators

ICYCSEE 2015: Intelligent Computation in Big Data Era pp 418–424Cite as

The Research of Heartbeat Detection Technique for Blade Server

  • Conference paper

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 503))

Abstract

The blade servers have been widely used in the telecommunications, financial and other big data processing fields as for the high efficiency, stability and autonomy. This study takes the hot redundancy design for dual-BMC management of blade servers as the research project, and puts forward a heartbeat detection program utilizing I2C for transmission of IPMI commands. And it’s successfully applied to the blade servers to achieve a hot redundancy, monitor and management of master/slave BMC management module, which is more standardized, reliable, and easy to implement.

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References

  1. De Dominicis, C.M., Ferrar, P., Flammini, A., et al.: Integration of existing IEC61850-based SAS within new high-availability architectures. In: 2010 IEEE International Workshop on Applied Measurements For Power Systems (AMPS), vol. 12 (2010)

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  2. GGouda, M., McGuire, T.M.: Acclerated heartbeat protocols (1998)

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  3. Robertson, A.: Linux-HA Heartbeat System Design (2000)

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  4. IPMI Specification Second Generation v2.0. www.mtel.com/design/server/ipmi (June 2006)

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Author information

Authors and Affiliations

  1. Inspur Chaoyue Digital Control Electronics Co., Ltd., Jinan, 250104, China

    Weiwei Jiang, Naikuo Chen & Shihua Geng

Authors
  1. Weiwei Jiang
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  2. Naikuo Chen
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  3. Shihua Geng
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Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, China

    Hongzhi Wang  & Wanxiang Che  & 

  2. School of Computer Science and Technology, Heilongjiang Institute of Technology, Harbin, China

    Haoliang Qi  & Zhongyuan Han  & 

  3. Northeast Forestry University, Harbin, China

    Zhaowen Qiu

  4. Heilongjiang Institute of Technology, Harbin, China

    Leilei Kong

  5. Harbin Engineering University, China

    Junyu Lin

  6. Zhongkeyunhai Company, Harbin, China

    Zeguang Lu

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© 2015 Springer-Verlag Berlin Heidelberg

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Cite this paper

Jiang, W., Chen, N., Geng, S. (2015). The Research of Heartbeat Detection Technique for Blade Server. In: Wang, H., et al. Intelligent Computation in Big Data Era. ICYCSEE 2015. Communications in Computer and Information Science, vol 503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46248-5_50

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  • DOI: https://doi.org/10.1007/978-3-662-46248-5_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46247-8

  • Online ISBN: 978-3-662-46248-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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