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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| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
| 出版: |
Nanyang Technological University
2022
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/160001 |
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| 機構: | Nanyang Technological University |
| 語言: | English |