Predicting the Impact of Job Placement on System Performance for z/OS: A Machine Learning Approach – Vivek MISHRA
Vivek MISHRA
Master's thesis
Predicting the Impact of Job Placement on System Performance for z/OS: A Machine Learning Approach
Abstract:
Efficient utilization of large-scale HPC systems, including z/OS, prioritizes resource management and job scheduling. Modern job scheduling systems need estimates of total wall time and CPU time at job submission to make reliable scheduling decisions. However, z/OS lacks a method for specifying these estimates at submission. This thesis investigates the impact of different job metadata on wall and …moreAbstract:
Efficient utilization of large-scale HPC systems, including z/OS, prioritizes resource management and job scheduling. Modern job scheduling systems need estimates of total wall time and CPU time at job submission to make reliable scheduling decisions. However, z/OS lacks a method for specifying these estimates at submission. This thesis investigates the impact of different job metadata on wall and …more
Language used: English
Date on which the thesis was submitted / produced: 20. 8. 2024
Thesis defence
- Supervisor: prof. Dr. Andreas Kassler
Citation record
ISO 690-compliant citation record:
MISHRA, Vivek. \textit{Predicting the Impact of Job Placement on System Performance for z/OS: A Machine Learning Approach}. Online. Master's thesis. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Science. 2024. Available from: https://theses.cz/id/xy1d12/.
The right form of listing the thesis as a source quoted
MISHRA, Vivek. Predicting the Impact of Job Placement on System Performance for z/OS: A Machine Learning Approach. České Budějovice, 2024. diplomová práce (Mgr.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- Soubory jsou nedostupné do 20. 8. 2027
- Po tomto datu bude práce dostupná: světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH, Přírodovědecká fakultaUNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE
Faculty of ScienceMaster programme / field:
Artificial Intelligence and Data Science / Artificial Intelligence and Data Science
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