{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T04:43:17Z","timestamp":1769748197537,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T00:00:00Z","timestamp":1721779200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,7,24]]},"DOI":"10.1145\/3671016.3674811","type":"proceedings-article","created":{"date-parts":[[2024,7,17]],"date-time":"2024-07-17T20:19:32Z","timestamp":1721247572000},"page":"303-312","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Energy-Aware Satellite-Ground Co-Inference via Layer-Wise Processing Schedule Optimization"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-7911-5646","authenticated-orcid":false,"given":"Yijie","family":"Chen","sequence":"first","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5585-6613","authenticated-orcid":false,"given":"Qiyang","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8526-0634","authenticated-orcid":false,"given":"Ruolin","family":"Xing","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0594-2745","authenticated-orcid":false,"given":"Yuanzhe","family":"Li","sequence":"additional","affiliation":[{"name":"Institute for AI Industry Research (AIR), Tsinghua University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7792-9457","authenticated-orcid":false,"given":"Xiao","family":"Ma","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0534-0127","authenticated-orcid":false,"given":"Chaoxin","family":"Yu","sequence":"additional","affiliation":[{"name":"China Mobile GBA Innovation Institute, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3555-0155","authenticated-orcid":false,"given":"Yiran","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5743-9418","authenticated-orcid":false,"given":"Ao","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7245-1298","authenticated-orcid":false,"given":"Shangguang","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,7,24]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Nickel\u2013cadmium and nickel\u2013metal hydride battery energy storage. Electrochemical energy storage for renewable sources and grid balancing","author":"Bernard Patrick","year":"2015","unstructured":"Patrick Bernard and Michael Lippert. 2015. Nickel\u2013cadmium and nickel\u2013metal hydride battery energy storage. Electrochemical energy storage for renewable sources and grid balancing (2015), 223\u2013251."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3422604.3425937"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Teresa\u00a0M Braun. 2012. Satellite Communications payload and system. (2012).","DOI":"10.1002\/9781118345214"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Qi Chen Zhigang Liu Xiaofeng Zhang and Liying Zhu. 2020. Spacecraft Power System Technologies.","DOI":"10.1007\/978-981-15-4839-0"},{"key":"e_1_3_2_1_5_1","volume-title":"Energy and Time-Aware Inference Offloading for DNN-based Applications in LEO Satellites. 2023 IEEE 31st International Conference on Network Protocols (ICNP)","author":"Chen Yijie","year":"2023","unstructured":"Yijie Chen, Qiyang Zhang, Yiran Zhang, Xiao Ma, and Ao Zhou. 2023. Energy and Time-Aware Inference Offloading for DNN-based Applications in LEO Satellites. 2023 IEEE 31st International Conference on Network Protocols (ICNP) (2023), 1\u20136."},{"key":"e_1_3_2_1_6_1","volume-title":"A technical comparison of three low earth orbit satellite constellation systems to provide global broadband. Acta astronautica 159","author":"Del\u00a0Portillo Inigo","year":"2019","unstructured":"Inigo Del\u00a0Portillo, Bruce\u00a0G Cameron, and Edward\u00a0F Crawley. 2019. A technical comparison of three low earth orbit satellite constellation systems to provide global broadband. Acta astronautica 159 (2019), 123\u2013135."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3582016.3582043"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCA.2019.2907539"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378473"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2012.93"},{"key":"e_1_3_2_1_11_1","volume-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861","author":"Howard G","year":"2017","unstructured":"Andrew\u00a0G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam. 2017. Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861 (2017)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737614"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3267809.3267828"},{"key":"e_1_3_2_1_14_1","volume-title":"Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25","author":"Krizhevsky Alex","year":"2012","unstructured":"Alex Krizhevsky, Ilya Sutskever, and Geoffrey\u00a0E Hinton. 2012. Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25 (2012)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/MVT.2022.3221391"},{"key":"e_1_3_2_1_16_1","volume-title":"Towards Sustainable Satellite Edge Computing. 2021 IEEE International Conference on Edge Computing (EDGE)","author":"Li Qing","year":"2021","unstructured":"Qing Li, Shangguang Wang, Xiao Ma, Ao Zhou, and Fangchun Yang. 2021. Towards Sustainable Satellite Edge Computing. 2021 IEEE International Conference on Edge Computing (EDGE) (2021), 1\u20138."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3570361.3592519"},{"key":"e_1_3_2_1_18_1","volume-title":"DNN surgery: Accelerating DNN inference on the edge through layer partitioning","author":"Liang Huanghuang","year":"2023","unstructured":"Huanghuang Liang, Qianlong Sang, Chuang Hu, Dazhao Cheng, Xiaobo Zhou, Dan Wang, Wei Bao, and Yu Wang. 2023. DNN surgery: Accelerating DNN inference on the edge through layer partitioning. IEEE transactions on Cloud Computing (2023)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2018.2803598"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20072"},{"key":"e_1_3_2_1_21_1","volume-title":"Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32","author":"Paszke Adam","year":"2019","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, 2019. Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32 (2019)."},{"key":"e_1_3_2_1_22_1","volume-title":"Distributed model predictive control method for spacecraft formation flying in a leader-follower formation","author":"Pereira Pedro","year":"2022","unstructured":"Pedro Pereira, Bruno\u00a0J Guerreiro, and Pedro Louren\u00e7o. 2022. Distributed model predictive control method for spacecraft formation flying in a leader-follower formation. IEEE Trans. Aerospace Electron. Systems (2022)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.actaastro.2020.11.042"},{"key":"e_1_3_2_1_24_1","unstructured":"HS Rauschenbach. 2012. Solar cell array design handbook: The principles and technology of photovoltaic energy conversion. NASA STI\/Recon Technical Report A 80 (2012) 34847."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00632"},{"key":"e_1_3_2_1_26_1","volume-title":"Proceedings of the international conference on parallel and distributed processing techniques and applications (PDPTA)","author":"Rodrigues Crefeda\u00a0Faviola","year":"2018","unstructured":"Crefeda\u00a0Faviola Rodrigues, Graham Riley, and Mikel Luj\u00e1n. 2018. SyNERGY: An energy measurement and prediction framework for Convolutional Neural Networks on Jetson TX1. Proceedings of the international conference on parallel and distributed processing techniques and applications (PDPTA) (2018), 375\u2013382."},{"key":"e_1_3_2_1_27_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_1_29_1","unstructured":"Weichi Tan Jingang Hu 2009. Spacecraft Systems Engineering. (2009)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583740.3628442"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3636534.3649371"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3032443"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2016.2611860"},{"key":"e_1_3_2_1_34_1","volume-title":"Boosting DNN Cold Inference on Devices. The 21st International Conference on Mobile Systems, Applications, and Services","author":"Yi Rongjie","year":"2023","unstructured":"Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, and Mengwei Xu. 2023. Boosting DNN Cold Inference on Devices. The 21st International Conference on Mobile Systems, Applications, and Services (2023)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2869284"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3458864.3467882"},{"key":"e_1_3_2_1_37_1","volume-title":"A Comprehensive Deep Learning Library Benchmark and Optimal Library Selection","author":"Zhang Qiyang","year":"2023","unstructured":"Qiyang Zhang, Xiangying Che, Yijie Chen, Xiao Ma, Mengwei Xu, Schahram Dustdar, Xuanzhe Liu, and Shangguang Wang. 2023. A Comprehensive Deep Learning Library Benchmark and Optimal Library Selection. IEEE Transactions on Mobile Computing (2023)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512148"},{"key":"e_1_3_2_1_39_1","volume-title":"Resource-efficient In-orbit Detection of Earth Objects. IEEE INFOCOM 2024-IEEE conference on computer communications","author":"Zhang Qiyang","year":"2024","unstructured":"Qiyang Zhang, Xin Yuan, Ruolin Xing, Yiran Zhang, Zimu Zheng, Xiao Ma, Mengwei Xu, Schahram Dustdar, and Shangguang Wang. 2024. Resource-efficient In-orbit Detection of Earth Objects. IEEE INFOCOM 2024-IEEE conference on computer communications (2024)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155418"}],"event":{"name":"Internetware 2024: 15th Asia-Pacific Symposium on Internetware","location":"Macau China","acronym":"Internetware 2024","sponsor":["SIGSOFT ACM Special Interest Group on Software Engineering"]},"container-title":["Proceedings of the 15th Asia-Pacific Symposium on Internetware"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3671016.3674811","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3671016.3674811","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:38:17Z","timestamp":1755909497000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3671016.3674811"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,24]]},"references-count":40,"alternative-id":["10.1145\/3671016.3674811","10.1145\/3671016"],"URL":"https:\/\/doi.org\/10.1145\/3671016.3674811","relation":{},"subject":[],"published":{"date-parts":[[2024,7,24]]},"assertion":[{"value":"2024-07-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}