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High-Efficiency Remote Cloud Data Center Backup with Intelligent Parameter Adaptation

  • Conference paper
Technologies and Applications of Artificial Intelligence (TAAI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8916))

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Abstract

This paper aims to realize high efficient remote cloud data center backup using HBase and Cassandra, and in order to verify the high efficiency backup they have applied Thrift Java for cloud data center to take a stress test by performing strictly data read/write and remote backup in the large amounts of data. In order to optimize traffic flow of data center backup, adaptive network-based fuzzy inference system (ANFIS) along with particle swarm optimization (PSO) has been employed to off-line tune seamless handoff and network traffic flow. Finally, in terms of the effectiveness-cost evaluation to assess the remote database backup, a cost-performance ratio has been evaluated for several benchmark databases and the proposed ones. As a result, the proposed HBase approach outperforms the other databases.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National University of Kaohsiung, 81148, Taiwan

    Bao Rong Chang, Cin-Long Guo, Chia-Yen Chen & Chien-Feng Huang

  2. Department of Marketing Management, Shu Te University, Kaohsiung, 82445, Taiwan

    Hsiu-Fen Tsai

Authors
  1. Bao Rong Chang
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  2. Hsiu-Fen Tsai
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  3. Cin-Long Guo
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  4. Chia-Yen Chen
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  5. Chien-Feng Huang
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Da’an Dist., 106, Taipei City, Taiwan

    Shin-Ming Cheng

  2. Department of Information Management, Tamkang University, No. 151, Yingzhuan Rd., Danshui Dist., 25137, New Taipei City, Taiwan

    Min-Yuh Day

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© 2014 Springer International Publishing Switzerland

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Chang, B.R., Tsai, HF., Guo, CL., Chen, CY., Huang, CF. (2014). High-Efficiency Remote Cloud Data Center Backup with Intelligent Parameter Adaptation. In: Cheng, SM., Day, MY. (eds) Technologies and Applications of Artificial Intelligence. TAAI 2014. Lecture Notes in Computer Science(), vol 8916. Springer, Cham. https://doi.org/10.1007/978-3-319-13987-6_3

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  • DOI: https://doi.org/10.1007/978-3-319-13987-6_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13986-9

  • Online ISBN: 978-3-319-13987-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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