Optimal Task Scheduling for Parallel Systems using State-Space Search
2020 doctoral thesis by Michael Orr at University of Auckland
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Optimal Task Scheduling for Parallel Systems using State-Space Search
Summary
Optimal Task Scheduling for Parallel Systems using State-Space Search is a doctoral thesis[1].
Key Facts
- Optimal Task Scheduling for Parallel Systems using State-Space Search's instance of is recorded as doctoral thesis[2].
- Optimal Task Scheduling for Parallel Systems using State-Space Search's publisher is recorded as ResearchSpace@Auckland[3].
- Optimal Task Scheduling for Parallel Systems using State-Space Search's copyright license is recorded as Creative Commons Attribution-NonCommercial-ShareAlike 3.0 New Zealand[4].
- Optimal Task Scheduling for Parallel Systems using State-Space Search's country of origin is recorded as New Zealand[5].
- Optimal Task Scheduling for Parallel Systems using State-Space Search's publication date is recorded as +2020-00-00T00:00:00Z[6].
- Optimal Task Scheduling for Parallel Systems using State-Space Search's main subject is recorded as computer systems engineering[7].
- Optimal Task Scheduling for Parallel Systems using State-Space Search's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/50077[8].
- Optimal Task Scheduling for Parallel Systems using State-Space Search's Handle ID is recorded as 2292/50077[9].
- Optimal Task Scheduling for Parallel Systems using State-Space Search's title is recorded as Optimal Task Scheduling for Parallel Systems using State-Space Search[10].
- Optimal Task Scheduling for Parallel Systems using State-Space Search's author name string is recorded as Michael Orr[11].
- Optimal Task Scheduling for Parallel Systems using State-Space Search's thesis submitted to is recorded as University of Auckland[12].
- Optimal Task Scheduling for Parallel Systems using State-Space Search's on focus list of Wikimedia project is recorded as NZThesisProject[13].
- Optimal Task Scheduling for Parallel Systems using State-Space Search's copyright status is recorded as copyrighted[14].
- Optimal Task Scheduling for Parallel Systems using State-Space Search's online access status is recorded as open access[15].
- Optimal Task Scheduling for Parallel Systems using State-Space Search's thesis committee member is recorded as Oliver Sinnen[16].
Body
Designation and Status
Optimal Task Scheduling for Parallel Systems using State-Space Search's instance of is recorded as doctoral thesis[2].