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Advances in Automation and Robotics, Vol. 2 pp 355–362Cite as

Pattern-Discovery-Based Response Time Prediction

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 123))

Abstract

Response time is one of the most important metrics quality of service and response time prediction has always been the a hot topic. Based on random process, there are many common methods for predicting response. However, we find that there are also some features of response time data of service running. According to these features, we summarize the the patterns of response time and propose a novel algorithm for predicting response time. To evaluate our algorithm, we compare PIPA with other algorithms. Experimental results show that PIPA can efficiently improve the accuracy of the prediction.

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Author information

Authors and Affiliations

  1. School of Computer, Wuhan University, China

    Lingshuang Shao, Yi Guo & Yanxiang He

  2. Institute of Advanced Technology, Sun Yat-sen University, China

    Xiangping Chen

Authors
  1. Lingshuang Shao
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  2. Yi Guo
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  3. Xiangping Chen
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  4. Yanxiang He
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Editor information

Editors and Affiliations

  1. Information Engineering Research Institute , 100 Continental Dr, 19713, Newark, DE, USA

    Gary Lee

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Shao, L., Guo, Y., Chen, X., He, Y. (2011). Pattern-Discovery-Based Response Time Prediction. In: Lee, G. (eds) Advances in Automation and Robotics, Vol. 2. Lecture Notes in Electrical Engineering, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25646-2_47

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  • DOI: https://doi.org/10.1007/978-3-642-25646-2_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25645-5

  • Online ISBN: 978-3-642-25646-2

  • eBook Packages: EngineeringEngineering (R0)

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