A new QoS prediction approach based on user clustering and regression algorithms

  • Shi Y
  • Zhang K
  • Liu B
 et al. 
  • 9

    Readers

    Mendeley users who have this article in their library.
  • 10

    Citations

    Citations of this article.

Abstract

QoS has become an important measure for web service selection. In this paper, we present an approach which can provide the approximate QoS value for users, and support finding the optimal web service. Firstly, it clusters the users based on location and network condition, then according to the QoS historical statistics of users in the same cluster, uses the linear regression algorithm to predict the QoS value based on invocation time and workload.

Author-supplied keywords

  • QoS
  • QoS prediction
  • Web service

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • Bin LiuHuazhong University of Science and Technology

    Follow
  • Yuliang Shi

  • Kun Zhang

  • Lizhen Cui

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free