Method of Fault Detection in Cloud Computing Systems

نویسندگان

  • Ying Jiang
  • Jie Huang
  • Jiaman Ding
  • Yingli Liu
چکیده

Cloud computing integrates a large number of virtual resources and provides flexible service to users by pay-as-you-need. Compared with the traditional software systems, the fault detection is more complex and difficult in cloud computing systems. The fault model is helpful for people to find and distinguish the software fault. However, the current researches mostly focus on software fault model under the traditional environment. Based on the research of software fault model, this paper proposed the fault models in cloud computing systems combining with the characteristics of cloud computing. Then an improved C4.5 decision algorithm is used to distinguish the cloud fault. The experiment results showed that the fault model and improved algorithm is effective.

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تاریخ انتشار 2014