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Research on SaaS Resource Management Method Oriented to Periodic User Behavior

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Trends and Applications in Knowledge Discovery and Data Mining (PAKDD 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7867))

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Abstract

With the development of Internet technology, SaaS is gaining popularity as a kind of innovative mode of software applications. In order to meet the needs of the periodic user behavior better, allocate virtual resource more reasonable and achieve the targets of SaaS Service performance optimization and energy conservation, this paper puts forward one SaaS resource management method oriented to periodic user behavior. This method takes the periodic user behavior as the research object, predicts future resource demand by predicting and matching concurrent requests and resource occupancy, then allocates the resource by demands. The results show that this strategy has good usability and validity and it can predict the user future demand for resources accurately. This method also lays a foundation for further performance optimization and energy conservation.

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Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Northeastern University, Shenyang, China

    Jun Guo, Hongle Wu, Hao Huang, Fang Liu & Bin Zhang

Authors
  1. Jun Guo
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  2. Hongle Wu
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  3. Hao Huang
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  4. Fang Liu
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  5. Bin Zhang
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Editor information

Editors and Affiliations

  1. School of Information Technology and Mathematical Sciences, University of South Australia, 1 Mawson Lakes Boulevard, 5095, Adelaide, SA, Australia

    Jiuyong Li

  2. Advanced Analytics Institute, University of Technology, 2-12 Blackfriars Street, Chippendale, Blackfriars Campus, 2008, Sydney, NSW, Australia

    Longbing Cao  & Can Wang  & 

  3. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, 117576, Singapore, Singapore

    Kay Chen Tan

  4. School of Automation, Guangdong University of Technology, No. 100 Waihuan Xi Road, Panyu District, 510006, Guangzhou, China

    Bo Liu

  5. School of Computing Science, Simon Fraser University, 8888 University Drive, V5A 1S6, Burnaby, BC, Canada

    Jian Pei

  6. Department of Computer Science and Information Engineering, National Cheng Kung University, No.1, University Road, 701, Tainan, Taiwan

    Vincent S. Tseng

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© 2013 Springer-Verlag Berlin Heidelberg

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Guo, J., Wu, H., Huang, H., Liu, F., Zhang, B. (2013). Research on SaaS Resource Management Method Oriented to Periodic User Behavior. In: Li, J., et al. Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2013. Lecture Notes in Computer Science(), vol 7867. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40319-4_46

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  • DOI: https://doi.org/10.1007/978-3-642-40319-4_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40318-7

  • Online ISBN: 978-3-642-40319-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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