The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
클라우드 컴퓨팅의 발전과 함께 모바일 엣지 컴퓨팅(Mobile Edge Computing)이 등장하며 폭넓은 관심을 끌고 있습니다. 본 논문에서는 에너지 수확을 통한 MEC의 로드 밸런싱에 중점을 둡니다. 먼저 에너지 소비와 대기열 중복성을 모두 최소화하는 문제로 MEC의 로드 밸런싱을 소개합니다. 그런 다음 이러한 최적화 문제를 Lyapunov 알고리즘에 적용하고 이 최적화 문제를 해결합니다. 마지막으로, 광범위한 시뮬레이션 결과는 얻은 전략이 MEC 시스템의 기능을 향상시키는 것을 검증합니다.
Ping ZHAO
Donghua University,Ministry of Education
Jiawei TAO
Donghua University,Ministry of Education
Abdul RAUF
Donghua University,Ministry of Education
Fengde JIA
Donghua University,Ministry of Education
Longting XU
Donghua University,Ministry of Education
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
부
Ping ZHAO, Jiawei TAO, Abdul RAUF, Fengde JIA, Longting XU, "Load Balancing for Energy-Harvesting Mobile Edge Computing" in IEICE TRANSACTIONS on Fundamentals,
vol. E104-A, no. 1, pp. 336-342, January 2021, doi: 10.1587/transfun.2020EAL2012.
Abstract: With the development of cloud computing, the Mobile Edge Computing has emerged and attracted widespread attentions. In this paper, we focus on the load balancing in MEC with energy harvesting. We first introduce the load balancing in MEC as a problem of minimizing both the energy consumption and queue redundancy. Thereafter, we adapt such a optimization problem to the Lyapunov algorithm and solve this optimization problem. Finally, extensive simulation results validate that the obtained strategy improves the capabilities of MEC systems.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2020EAL2012/_p
부
@ARTICLE{e104-a_1_336,
author={Ping ZHAO, Jiawei TAO, Abdul RAUF, Fengde JIA, Longting XU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Load Balancing for Energy-Harvesting Mobile Edge Computing},
year={2021},
volume={E104-A},
number={1},
pages={336-342},
abstract={With the development of cloud computing, the Mobile Edge Computing has emerged and attracted widespread attentions. In this paper, we focus on the load balancing in MEC with energy harvesting. We first introduce the load balancing in MEC as a problem of minimizing both the energy consumption and queue redundancy. Thereafter, we adapt such a optimization problem to the Lyapunov algorithm and solve this optimization problem. Finally, extensive simulation results validate that the obtained strategy improves the capabilities of MEC systems.},
keywords={},
doi={10.1587/transfun.2020EAL2012},
ISSN={1745-1337},
month={January},}
부
TY - JOUR
TI - Load Balancing for Energy-Harvesting Mobile Edge Computing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 336
EP - 342
AU - Ping ZHAO
AU - Jiawei TAO
AU - Abdul RAUF
AU - Fengde JIA
AU - Longting XU
PY - 2021
DO - 10.1587/transfun.2020EAL2012
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E104-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2021
AB - With the development of cloud computing, the Mobile Edge Computing has emerged and attracted widespread attentions. In this paper, we focus on the load balancing in MEC with energy harvesting. We first introduce the load balancing in MEC as a problem of minimizing both the energy consumption and queue redundancy. Thereafter, we adapt such a optimization problem to the Lyapunov algorithm and solve this optimization problem. Finally, extensive simulation results validate that the obtained strategy improves the capabilities of MEC systems.
ER -