Methods for virtual machine scheduling with uncertain execution times in cloud computing

@article{Xu2019MethodsFV,
  title={Methods for virtual machine scheduling with uncertain execution times in cloud computing},
  author={Haiyan Xu and Xiaoping Li},
  journal={International Journal of Machine Learning and Cybernetics},
  year={2019},
  volume={10},
  pages={325-335}
}
Execution times are crucial for effectiveness of tasks or jobs scheduling. It is very hard to accurately estimate execution times because they are influenced by many factors. Though there are some models for traditional machine scheduling problems, no attention has been paid on virtual machine scheduling in cloud computing. Based on cloud agent (VM administrator, scheduler or intelligent procedure) experiences, we develop integrated learning effects models to obtain accurate execution times… CONTINUE READING