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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/34580/ 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/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