2017 Fiscal Year Annual Research Report
A machine learning based system for storing and processing big spatial-temporal data
| Project/Area Number |
16K16038
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| Research Institution | The University of Aizu |
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Principal Investigator |
李 鵬 (李鵬) 会津大学, コンピュータ理工学部, 准教授 (30735915)
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| Project Period (FY) |
2016-04-01 – 2018-03-31
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| Keywords | big data / spatial-temporal data / scheduling / traffic management |
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| Outline of Annual Research Achievements |
We have developed a software system for storing and processing big spatial-temporal data, which can automatically adjust configurations according to data characteristics. To optimize its performance in practice, we have also studied related problems of resource allocation, job scheduling and network traffic management.
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