Ets-ddpg: an energy-efficient and QoS-guaranteed edge task scheduling approach based on deep reinforcement learning-Reference-Cited by-同舟云学术

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Ets-ddpg: an energy-efficient and QoS-guaranteed edge task scheduling approach based on deep reinforcement learning

Published:2024-07-30 Issue: Volume: Page:
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Zhao Jiale,Xia Yunni,Sun Xiaoning,Long Tingyan,Peng Qinglan,Guo Shangzhi,Meng Fei,Dong Yumin,Xia Qing

Funder

Postgraduate Scientific Research and Innovation Foundation of Chongqing

Foundation of Yunnan Key Laboratory of Science Computing

Science Foundation of Chongqing

Key Research and Development Project of Henan Province

Key Research projects of Henan Colleges and Universities

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11276-024-03820-3.pdf

Reference49 articles.

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2. Fazio, M., Celesti, A., Ranjan, R., Liu, C., Chen, L., & Villari, M. (2016). Open issues in scheduling microservices in the cloud. IEEE Cloud Computing, 3(5), 81–88. https://doi.org/10.1109/MCC.2016.112

3. Masanet, E., Shehabi, A., Lei, N., Smith, S., & Koomey, J. (2020). Recalibrating global data center energy-use estimates. Science, 367(6481), 984–986. https://doi.org/10.1126/science.aba3758

4. Kiani, A., & Ansari, N. (2016). A fundamental tradeoff between total and brown power consumption in geographically dispersed data centers. IEEE Communications Letters, 20(10), 1955–1958. https://doi.org/10.1109/LCOMM.2016.2598535

5. Zhao, Z., Peng, M., Ding, Z., Wang, W., & Poor, H. V. (2016). Cluster content caching: An energy-efficient approach to improve quality of service in cloud radio access networks. IEEE Journal on Selected Areas in Communications, 34(5), 1207–1221. https://doi.org/10.1109/JSAC.2016.2545384

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