| Presentation | 2019-01-17 Evaluation of Edge Cooperation Model for Real-Time Predictive Information Delivery Considering Prediction Accuracy Masahiro Kanbayashi, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Nowadays, traffic congestion is still a serious social problem in many countries. Real-time delivery of predictive road traffic information has been expected as a promising solution for the problem. Since the latency requirement is strict in such real-time delivery, edge cooperation has been studied to increase the capability of processing sensor data. However, although the prior works forced mainly on latency requirements, they did not consider the accuracy of predicted information. Therefore, this report proposes a model for edge cooperation. The edge cooperation system based on our model can maximize the prediction accuracy while satisfying the latency requirement for realtime delivery. Our model is formulated as a generalized mutual assignment problem, in which edge servers cooperatively process and use data that contribute to the improvement of prediction accuracy with high priority. This report considers a two edge-server case and discusses numerical evaluation with the scenario where roadside cameras work for collecting road-traffic information as sensors. From the numerical result, we validate the system based on our model in terms of prediction accuracy under various conditions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | edge computing / machine learning / predictive information delivery / generalized mutual assignment problem |
| Paper # | MoNA2018-68 |
| Date of Issue | 2019-01-09 (MoNA) |
| Conference Information | |
| Committee | MoNA |
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| Conference Date | 2019/1/16(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | T. B. D. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Ryoichi Shinkuma(Kyoto Univ.) |
| Vice Chair | Shigeaki Tagashira(Kansai Univ.) / Gen Kitagata(Tohoku Univ.) |
| Secretary | Shigeaki Tagashira(Kyushu Univ.) / Gen Kitagata(NEC) |
| Assistant | Ken Usui(KDDI Research) / Kenji Kanai(Waseda Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Mobile Network and Applications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation of Edge Cooperation Model for Real-Time Predictive Information Delivery Considering Prediction Accuracy |
| Sub Title (in English) | |
| Keyword(1) | edge computing |
| Keyword(2) | machine learning |
| Keyword(3) | predictive information delivery |
| Keyword(4) | generalized mutual assignment problem |
| 1st Author's Name | Masahiro Kanbayashi |
| 1st Author's Affiliation | Kyoto University(Kyoto Univ.) |
| 2nd Author's Name | Ryoichi Shinkuma |
| 2nd Author's Affiliation | Kyoto University(Kyoto Univ.) |
| 3rd Author's Name | Takehiro Sato |
| 3rd Author's Affiliation | Kyoto University(Kyoto Univ.) |
| 4th Author's Name | Eiji Oki |
| 4th Author's Affiliation | Kyoto University(Kyoto Univ.) |
| Date | 2019-01-17 |
| Paper # | MoNA2018-68 |
| Volume (vol) | vol.118 |
| Number (no) | MoNA-389 |
| Page | pp.pp.63-68(MoNA), |
| #Pages | 6 |
| Date of Issue | 2019-01-09 (MoNA) |