@inproceedings{36a267f50fec421fa791f532aaf52c7f,
title = "DeepDefrag: Spatio-Temporal Defragmentation of Time-Varying Virtual Networks in Computing Power Network based on Model-Assisted Reinforcement Learning",
abstract = "We propose DeepDefrag, a model-assisted reinforcement learning for spatio-temporal defragmentation of time-varying virtual networks in a cross-layer optical network testbed, which realizes the efficient utilization of computing nodes and lightpaths by co-optimizing scheduling and embedding with fragment matching, reduces >13.5\% cost of computing power network.",
author = "Huangxu Ma and Jiawei Zhang and Zhiqun Gu and Hao Yu and Tarik Taleb and Yuefeng Ji",
note = "Publisher Copyright: {\textcopyright} 2022 Optica.; 2022 European Conference on Optical Communication, ECOC 2022 ; Conference date: 18-09-2022 Through 22-09-2022",
year = "2022",
language = "英语",
series = "2022 European Conference on Optical Communication, ECOC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 European Conference on Optical Communication, ECOC 2022",
address = "美国",
}