A Machine Learning Approach for Improving Process Scheduling: A Survey
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2017 by IJCTT Journal | ||
| Volume-43 Number-1 |
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| Year of Publication : 2017 | ||
| Authors : Siddharth Dias, Sidharth Naik, Sreepraneeth K, Sumedha Raman, Namratha M | ||
| DOI : 10.14445/22312803/IJCTT-V43P101 |
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) V43(1):1-4, December 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Improving 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.
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Keywords
Machine learning, Process Scheduling.