A Machine Learning Approach for Improving Process Scheduling: A Survey

Siddharth Dias; Sidharth Naik; Sreepraneeth K; Sumedha Raman; Namratha M

doi:https://doi.org/10.14445/22312803/IJCTT-V43P101

Research Article | Open Access | Download PDF

Volume 43 | Number 1 | Year 2017 | Article Id. IJCTT-V43P101 | DOI : https://doi.org/10.14445/22312803/IJCTT-V43P101

A Machine Learning Approach for Improving Process Scheduling: A Survey

Siddharth Dias, Sidharth Naik, Sreepraneeth K, Sumedha Raman, Namratha M

Citation :

Siddharth Dias, Sidharth Naik, Sreepraneeth K, Sumedha Raman, Namratha M, "A Machine Learning Approach for Improving Process Scheduling: A Survey," International Journal of Computer Trends and Technology (IJCTT), vol. 43, no. 1, pp. 1-4, 2017. Crossref, https://doi.org/10.14445/22312803/IJCTT-V43P101

Abstract

mproving interactivity and user experience has always been a challenging task. One aspect of this could be to improve process scheduling. This paper is a detailed survey about the attempts that have been made to incorporate machine learning techniques to improve process scheduling. Various approaches to find the appropriate attributes of a process for predicting resource utilization have been discussed here.

Keywords

Machine learning, Process Scheduling.

References

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