Presentation 2019-07-11
[Invited Talk] Joint Optimization of Computing Resources and Data Allocation for MEC: An Online Approach
Xun Shao,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this work, we carry out an in-depth study on the interaction of computing resource allocation and data placement in mobile edge computing environments. Based on the analysis of the temporal and spatial characteristics of the two tasks, we propose a joint optimization framework that works with online manner. The proposed method employs hybrid timescales: a coarse-grained timescale to update the data placement and a fine-grained timescale to decide computing resource allocation. The proposed method achieves provable near-optimal performance without buffering users' requirements and does not assume that future trends in user requirements are predictable.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Edge Computing / Resource Allocation / Data Placement / Online Optimization
Paper # ICM2019-10
Date of Issue 2019-07-04 (ICM)

Conference Information
Committee ICM
Conference Date 2019/7/11(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kiyohito Yoshihara(KDDI Research)
Vice Chair Takumi Miyoshi(Shibaura Inst. of Tech.) / Yoichi Sato(NEC)
Secretary Takumi Miyoshi(NTT) / Yoichi Sato(NTT)
Assistant Hiroki Nakayama(BOSCO Technologies)

Paper Information
Registration To Technical Committee on Information and Communication Management
Language ENG-JTITLE
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Talk] Joint Optimization of Computing Resources and Data Allocation for MEC: An Online Approach
Sub Title (in English)
Keyword(1) Edge Computing
Keyword(2) Resource Allocation
Keyword(3) Data Placement
Keyword(4) Online Optimization
1st Author's Name Xun Shao
1st Author's Affiliation Kitami Institute of Technology(Kitami Tech)
Date 2019-07-11
Paper # ICM2019-10
Volume (vol) vol.119
Number (no) ICM-111
Page pp.pp.25-30(ICM),
#Pages 6
Date of Issue 2019-07-04 (ICM)