Year
2024
Degree Name
Doctor of Philosophy
Department
School of Computing and Information Technology
Abstract
This thesis investigates several aspects of Multi-Tiered Storage (MTS), Extended Petri Nets (EPNs), and novel rule-based scheduling for data transfers, all aimed at enhancing the efficiency of processing database applications in computing systems equipped with multi-tiered persistent storage devices. It presents specialised algorithms designed to generate optimal data transfer strategies.
Moreover, the work explores the essential role of MTS in effectively managing organisations’ extensive volume of data. It offers comprehensive insights into Petri Nets, detailing their components and operational principles. Additionally, the thesis introduces a novel data processing framework called the EPN, which extends the original Petri Nets. It introduces algorithms that leverage EPN to articulate data flows between storage tiers, facilitating the creation of optimal data transfer strategies.
Recommended Citation
Noon, Nan Noon, Maximize Efficiency of Data Transfer Scheduling in Multi-Tiered Storage, Doctor of Philosophy thesis, School of Computing and Information Technology, University of Wollongong, 2024. https://ro.uow.edu.au/theses1/1879
FoR codes (2008)
080604 Database Management
Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.