Task allocation and scheduling for distributed job execution
Data analytic jobs usually require large volumes of data inputs that are available at geographically distributed locations. Gathering all the data at a central location for processing would not only place heavy traffic burdens on the underlying networks but also slow down the job execution. To achie...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/160001 |