Presentation 2021-09-09
Load balancing method using reinforcement learning between edge and cloud
Hiroki Kobari, Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, edge computing has attracted more and more attention. Compared with traditional cloud computing, edge computing can reduce communication delay. However, the processing capability of edge computing is not as good as cloud computing. The proposed method takes advantage of the low communication delay of edge computing and the high processing capability of cloud computing. We use the Q-learning algorithm to load balance between the edge server and the cloud server to reduce the average service time. Simulation results show that the proposed method suppresses the task failure rate while reducing the average service time.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Cloud computingEdge computingQ-learning
Paper # CQ2021-38
Date of Issue 2021-09-02 (CQ)

Conference Information
Committee CQ
Conference Date 2021/9/9(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Wireless Communications Quality, 6G, IoT, Resource Management, Wireless Transmission, Cross layer Technologies, etc.
Chair Jun Okamoto(NTT)
Vice Chair Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.)
Secretary Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.)
Assistant Yoshiaki Nishikawa(NEC) / Ryoichi Kataoka(KDDI Research) / Kimiko Kawashima(NTT)

Paper Information
Registration To Technical Committee on Communication Quality
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Load balancing method using reinforcement learning between edge and cloud
Sub Title (in English)
Keyword(1) Cloud computingEdge computingQ-learning
1st Author's Name Hiroki Kobari
1st Author's Affiliation The University of Electro-Communications(UEC)
2nd Author's Name Zhaoyang Du
2nd Author's Affiliation The University of Electro-Communications(UEC)
3rd Author's Name Celimuge Wu
3rd Author's Affiliation The University of Electro-Communications(UEC)
4th Author's Name Tsutomu Yoshinaga
4th Author's Affiliation The University of Electro-Communications(UEC)
Date 2021-09-09
Paper # CQ2021-38
Volume (vol) vol.121
Number (no) CQ-173
Page pp.pp.6-10(CQ),
#Pages 5
Date of Issue 2021-09-02 (CQ)