Fabio Carfi'
Predicting the pending time of jobs submitted on a High-Performance Computing cluster through a hierarchical classification strategy.
Rel. Tania Cerquitelli. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2020
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Abstract
In the context of heavy simulations, which need, therefore, to be performed on HPC architectures to have more computing power than the one provided by a normal PC, since the resources these systems can offer are also limited, it is useful to try to understand how much time passes between the moment in which the job is subdued and the one in which it starts the execution. This is because with this knowledge it would be possible, in the future, to design processes that can define the execution time of simulations, in order to use this information to create procedures that can optimize the resources requests, drastically reducing the waiting times of the results.
The objective of this thesis project, carried out at the Iveco headquarter (Italy) under the supervision of the Politecnico di Torino, is therefore to succeed to implement a prediction system able to estimating the time that a job will have to wait before the necessary hardware resources are supplied for its execution
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