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QoS-aware predictive workflow scheduling

Abdul Aziz, Maslina 2018, QoS-aware predictive workflow scheduling, Ph.D. thesis, School of Information Technology, Deakin University.

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Title QoS-aware predictive workflow scheduling
Author Abdul Aziz, Maslina
Institution Deakin University
School School of Information Technology
Faculty Faculty of Science, Engineering and Built Environment
Degree type Research doctorate
Degree name Ph.D.
Thesis advisor Abawajy, JemalORCID iD for Abawajy, Jemal orcid.org/0000-0001-8962-1222
Date submitted 2018-10
Summary This research places the basis of QoS-aware predictive workflow scheduling. This research novel contributions will open up prospects for future research in handling complex big workflow applications with high uncertainty and dynamism. The results from the proposed workflow scheduling algorithm shows significant improvement in terms of the performance and reliability of the workflow applications.
Language eng
Indigenous content off
Field of Research 080502 Mobile Technologies
080503 Networking and Communications
080504 Ubiquitous Computing
Socio Economic Objective 810107 National Security
Description of original 145 p.
Copyright notice ┬ęThe author
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30132238

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Created: Wed, 20 Nov 2019, 15:36:55 EST by Penny Mcevoy

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.