| Paper Abstract and Keywords |
| Presentation |
2022-10-31 14:00
[Poster Presentation]
Experimental evaluation of the effectiveness of networked-data preprocessing in an edge network
Saiga Oshima (Kyutech), Yuzo Taenaka (Naist), Kazuya Tsukamoto (Kyutech) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In IoT, content is created by combining data from various different fields generated in the region, expanding local production for local consumption of data to be utilized in the region. However, the amount of computation (computational resources) and the amount of transferred data (communication resources) required for content generation vary widely, and the efficiency of resource use decreases depending on the data transfer path and the server that processes the data. In a previous study, we proposed a resource utilization method that divides the content generation process into multiple processes and distributes data preprocessing among multiple servers, but the specific method to realize preprocessing and its effectiveness have not yet been evaluated. In this study, we propose a method for dividing preprocessing and a method for realizing the divided preprocessing in an edge network, and evaluate the effectiveness of the proposed method. Experimental results show that dividing preprocessing can reduce data and the processing load itself, and is effective in efficient use of computational resources. Furthermore, by distributing the computational load by executing the divided preprocessing on servers in the edge network, we can effectively utilize all resources in the edge network and expect to reduce the processing time by 4.7%. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Internet of Things / Edge Computing / Data Preprocessing / Motion Detection / Object Recognition / / / |
| Reference Info. |
IEICE Tech. Rep. |
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| Conference Information |
| Committee |
RISING |
| Conference Date |
2022-10-31 - 2022-11-02 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kyoto Terrsa (Day 1), and Online (Day 2, 3) |
| Topics (in Japanese) |
(See Japanese page) |
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| Paper Information |
| Registration To |
RISING |
| Conference Code |
2022-10-RISING |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Experimental evaluation of the effectiveness of networked-data preprocessing in an edge network |
| Sub Title (in English) |
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| Keyword(1) |
Internet of Things |
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Edge Computing |
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Data Preprocessing |
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Motion Detection |
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Object Recognition |
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| 1st Author's Name |
Saiga Oshima |
| 1st Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
| 2nd Author's Name |
Yuzo Taenaka |
| 2nd Author's Affiliation |
Nara Institute of Science and Technology (Naist) |
| 3rd Author's Name |
Kazuya Tsukamoto |
| 3rd Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
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| Speaker |
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| Date Time |
2022-10-31 14:00:00 |
| Presentation Time |
45 minutes |
| Registration for |
RISING |
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