A Machine Learning Approach for Improving Process Scheduling: A Survey

A Machine Learning Approach for Improving Process Scheduling: A Survey

  IJCTT-book-cover
 		 International Journal of Computer Trends and Technology (IJCTT)          
 
© 2017 by IJCTT Journal
Volume-43 Number-1
Year of Publication : 2017
Authors : Siddharth Dias, Sidharth Naik, Sreepraneeth K, Sumedha Raman, Namratha M
DOI :  10.14445/22312803/IJCTT-V43P101

MLA

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.