Optimizing Cloud AI Platforms: Resource Allocation and Market Design
<p>The numerous applications of data-driven algorithms and tools across diverse industries have led to tremendous successes in recent years. As the volume of massive data that is created, collected, and consumed continues to grow, there are many new imposed challenges faced by today's clo...
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| Format: | Others |
| Language: | en |
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2021
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| Online Access: | https://thesis.library.caltech.edu/14254/1/THESIS_21__Yu_Su.pdf Su, Yu (2021) Optimizing Cloud AI Platforms: Resource Allocation and Market Design. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/bc2t-er54. https://resolver.caltech.edu/CaltechTHESIS:06072021-172842077 <https://resolver.caltech.edu/CaltechTHESIS:06072021-172842077> |
Internet
https://thesis.library.caltech.edu/14254/1/THESIS_21__Yu_Su.pdfSu, Yu (2021) Optimizing Cloud AI Platforms: Resource Allocation and Market Design. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/bc2t-er54. https://resolver.caltech.edu/CaltechTHESIS:06072021-172842077 <https://resolver.caltech.edu/CaltechTHESIS:06072021-172842077>