| 大会名称 |
| 2020年 総合大会 |
| 大会コ－ド |
| 2020G |
| 開催年 |
|
2020
|
| 発行日 |
|
2020-03-03
|
| セッション番号 |
|
BI-3
|
| セッション名 |
|
IoT時代の多様な産業を支えるエッジコンピューティング技術
|
| 講演日 |
|
2020/3/20
|
| 講演場所(会議室等) |
|
工学部 講義棟１F 116講義室
|
| 講演番号 |
|
BI-3-2
|
| タイトル |
|
Implementing Application-Specific Edge Computing Network Architecture for 5G Networks
|
| 著者名 |
|
○杜 平, 中尾彰宏,
|
| キーワード |
|
Software-defined Network (SDN), Multi-Access Edge Computing (MEC)
|
| 抄録 |
|
In this paper, we present an application-specific Multi-Access Edge Computing (MEC) network architecture by leveraging the Control and User Plane Separation (CUPS) in mobile core networks to offload data traffic from different applications to different edge servers for application-specific processing. We first apply deep-learning to classify traffic into application-based EPS bearers. Then, to physically isolate EPS bearers of the same PDN connection, we slice the PDN gateway (P-GW) into multiple physically distributed P-GW slices so that its attached edge server can be distributedly deployed on- demand. We prototype the proposed application-specific MEC network architecture using modified OpenAirInterface LTE/5G software. Our modification is 3GPP-compatible so that it could be acceptable by mobile network operators. It is applicable in both non-standalone (NSA) and standalone (SA) 5G networks.
|
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|
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