2017 Fiscal Year Annual Research Report
Research on distributed big data processing for IoT with hybrid cloud
| Project/Area Number |
16K16053
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| Research Institution | Kitami Institute of Technology |
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Principal Investigator |
SHAO XUN 北見工業大学, 工学部, 特任助教 (80774588)
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| Project Period (FY) |
2016-04-01 – 2018-03-31
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| Keywords | IoT / Big Data / Edge Computing / ICN |
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| Outline of Annual Research Achievements |
This research aims to develop novel decentralized in-network big data processing technologies to support and develop IoT applications.
For this purpose, in FY 2016, I conducted extensive survey of IoT and the emerging distributed computing technologies. I proposed a novel in-network big data processing architecture based on edge computing. I also proposed the key technologies, such as flash crowds alleviation and load-balancing methods.
In FY 2017, I made in-depth study to understand the worst-case performance of the key technologies, and found out the combination of parameters to achieve better performance. In addition, I also explored applying Information-Centric Networking (ICN) to further improve the system performance.
By now, most of the research objectives have been achieved.
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