Energy Consumption Minimization of Smart Devices for Delay-Constrained Task Processing with Edge Computing

被引:0
|
作者
Yoo, Wonsuk [1 ]
Yang, Wonsik [1 ]
Chung, Jong-Moon [1 ]
机构
[1] Yonsei Univ, Sch Elect & Elect Engn, Seoul, South Korea
关键词
Smart device; energy consumption; partial offloading; edge computing; dynamic voltage and frequency scaling;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As high quality real-time service demands on smart device applications are rapidly increasing, offloading the application task to the edge server to reduce total response time is emerging as a key issue. Meanwhile, smart devices are very sensitive to the energy consumption (to maximize the battery lifetime), where various energy consumption schemes have been attempted to minimize the power profile, especially for computationally heavy tasks. In this paper, an energy consumption minimization scheme that adjusts both the offloading ratio and CPU operating frequency of the device based on a Dynamic Voltage and Frequency Scaling (DVFS) technique under delay constraint is proposed. Simulation results show that the proposed scheme minimizes the energy consumption of the device while satisfying the delay requirement.
引用
收藏
页码:118 / 120
页数:3
相关论文
共 50 条
  • [1] Energy Minimization of Delay-Constrained Offloading in Vehicular Edge Computing Networks
    Yang, Tianyu
    Zhu, Yao
    Hu, Yulin
    Mathar, Rudolf
    2019 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE WORKSHOP (WCNCW), 2019,
  • [2] Delay-Constrained Communication in Edge Computing Networks
    Hu, Yulin
    Schmeink, Anke
    2018 IEEE 19TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2018, : 106 - 110
  • [3] Energy-Efficient, Delay-Constrained Edge Computing of a Network of DNNs
    Ghasemi, Mehdi
    Heidari, Soroush
    Kim, Young Geun
    Wu, Carole-Jean
    Vrudhula, Sarma
    IEEE TRANSACTIONS ON COMPUTERS, 2025, 74 (02) : 569 - 581
  • [4] Energy-Efficient Task Offloading and Resource Allocation for Delay-Constrained Edge-Cloud Computing Networks
    Wang, Sai
    Li, Xiaoyang
    Gong, Yi
    IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2024, 8 (01): : 514 - 524
  • [5] Delay-Constrained Offloading of Computationally IntensiveWorkloads in Edge Computing
    Liu, Qingyu
    Zeng, Haibo
    Liu, Lingjia
    Chen, Minghua
    SEC'19: PROCEEDINGS OF THE 4TH ACM/IEEE SYMPOSIUM ON EDGE COMPUTING, 2019, : 346 - 346
  • [6] Optimal auction for delay and energy constrained task offloading in mobile edge computing
    Mashhadi, Farshad
    Monroy, Sergio A. Salinas
    Bozorgchenani, Arash
    Tarchi, Daniele
    COMPUTER NETWORKS, 2020, 183 (183)
  • [7] Delay-Constrained GNR Routing for Layer Minimization
    Yan, Jin-Tai
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2020, 28 (11) : 2356 - 2369
  • [8] Task-oriented collaborative computing scheme for delay-constrained vehicular networks
    Chai, Xuguang
    Li, Xiaowei
    Li, Xin
    Cai, Hongguo
    Huang, Fangting
    ALEXANDRIA ENGINEERING JOURNAL, 2025, 117 : 230 - 240
  • [9] Revenue and Energy Efficiency-Driven Delay-Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach
    Huang, Xinyu
    He, Lijun
    Chen, Xing
    Wang, Liejun
    Li, Fan
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (11) : 8852 - 8868
  • [10] Metaheuristic task offloading approaches for minimization of energy consumption on edge computing: a systematic review
    Latip, Rohaya
    Aminu, Jafar
    Hanafi, Zurina Mohd
    Kamarudin, Shafinah
    Gabi, Danlami
    Discover Internet of Things, 2024, 4 (01):