Comparative study on job scheduling using priority rule and machine learning

Comparative study on job scheduling using priority rule and machine learning

Cloud computing is a potential technique for running resource-intensive applications on a wide scale. Implementation of a suitable scheduling algorithm is critical in order to properly use cloud resources. Shortest Job First (SJF) and Longest Job First (LJF) are two well-known corporate schedulers t...

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Bibliographic Details
Main Authors: Murad, Saydul Akbar, Zafril Rizal, M Azmi, Abu Jafar, Md Muzahid, Al-Imran, Md.
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2021
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/34580/1/Comparative%20study%20on%20job%20scheduling%20using%20priority%20rule%20and%20machine%20learning.pdf
http://umpir.ump.edu.my/id/eprint/34580/2/Comparative%20study%20on%20job%20scheduling%20using%20priority%20rule%20and%20machine%20learning_FULL.pdf

Internet

http://umpir.ump.edu.my/id/eprint/34580/1/Comparative%20study%20on%20job%20scheduling%20using%20priority%20rule%20and%20machine%20learning.pdf
http://umpir.ump.edu.my/id/eprint/34580/2/Comparative%20study%20on%20job%20scheduling%20using%20priority%20rule%20and%20machine%20learning_FULL.pdf

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