2019년 컴퓨터종합학술대회
Current Result Document :
| 한글제목(Korean Title) |
Optimization to Task Bundle Processing for Multi-Access Edge Computing Systems |
| 영문제목(English Title) |
Optimization to Task Bundle Processing for Multi-Access Edge Computing Systems |
| 저자(Author) |
Quang Dang Nguyen
Ngo Anh Vien
Tuyen Le Pham
SeungYoon Choi
A. F. M. Shahab Uddin
TaeChoong Chung
|
| 원문수록처(Citation) |
VOL 46 NO. 01 PP. 0255 ~ 0257 (2019. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
With the increase in demand for data processing applications such natural language or image processing tasks, power computing ability and battery becomes key challenges to personal smart devices. Limitations in battery and computation ability of individual devices require the enabling of cloud computing to allow data to be processed offline and with minimal cost in power consumption. As a result, Multi-Access Edge Computing (MEC) is introduced as a solution to the problem. MEC architecture can offer the high performance of cloud computing ability to users’ bundles of tasks while saving much of Mobile Devices (MDs)’ battery. Assuming that each task of a bundle can be handled at both local devices and server but with difference costs, this paper will build a simple model of MEC system and an optimizer to optimize the power consumption of the whole system in processing users’ bundles of tasks. With some constraints about the maximum processing time for users’ task bundles, and the overloading constraints of the Cloud Servers (MEC servers), some techniques including both traditional and modern approaches to the problem will be implemented. |
| 키워드(Keyword) |
Multi-Access Edge Computing
Simplex Method
Graphical Method
Reinforcement Learning
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| 파일첨부 |
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