{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T16:39:25Z","timestamp":1786120765137,"version":"build-2736575974"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T00:00:00Z","timestamp":1786147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2024YFB2906503"],"award-info":[{"award-number":["2024YFB2906503"]}]},{"name":"National Natural Science Foundation of China","award":["62602005"],"award-info":[{"award-number":["62602005"]}]},{"name":"Science and Technology Program of Fujian Province","award":["2025H6007"],"award-info":[{"award-number":["2025H6007"]}]},{"name":"Xinmiao Project of Zhejiang Provincial Applied Basic Research Program","award":["2026R401172"],"award-info":[{"award-number":["2026R401172"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,8,9]]},"DOI":"10.1145\/3770855.3818879","type":"proceedings-article","created":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T17:15:37Z","timestamp":1786036537000},"page":"13123-13134","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["OmniPlan: An Adaptive Framework for Timely and Near-Optimal Network Planning Optimization"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6128-3065","authenticated-orcid":false,"given":"Longlong","family":"Zhu","sequence":"first","affiliation":[{"name":"Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9056-8534","authenticated-orcid":false,"given":"Jiashuo","family":"Yu","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5346-9577","authenticated-orcid":false,"given":"Zedi","family":"Chen","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8364-1611","authenticated-orcid":false,"given":"Yuhan","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, Fuzhou, Fujian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1789-9758","authenticated-orcid":false,"given":"Zhifan","family":"Jiang","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0254-8365","authenticated-orcid":false,"given":"Yuchen","family":"Xian","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7976-6079","authenticated-orcid":false,"given":"Yimeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6899-4174","authenticated-orcid":false,"given":"Jiajie","family":"Su","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7737-6283","authenticated-orcid":false,"given":"Shaopeng","family":"Zhou","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9081-817X","authenticated-orcid":false,"given":"Xingyuan","family":"Li","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7753-0294","authenticated-orcid":false,"given":"Hongyan","family":"Liu","sequence":"additional","affiliation":[{"name":"Fuzhou University, Fuzhou, Fujian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7966-4488","authenticated-orcid":false,"given":"Xuan","family":"Liu","sequence":"additional","affiliation":[{"name":"Yangzhou University, Yangzhou, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6379-0244","authenticated-orcid":false,"given":"Dong","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, Fuzhou, Fujian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7958-9687","authenticated-orcid":false,"given":"Chunming","family":"Wu","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0249-9664","authenticated-orcid":false,"given":"Xiang","family":"Chen","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, Zhejiang, China and College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,8,8]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Barefoot Network. Barefoot Tofino. 2025. https:\/\/www.barefootnetworks.com\/technology\/#tofino."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2022-Spring54318.2022.9860682"},{"key":"e_1_3_2_1_3_1","first-page":"1","article-title":"MTP: Avoiding control plane overload with measurement task placement","author":"Chen Xiang","year":"2021","unstructured":"Xiang Chen, Qun Huang, Peiqiao Wang, Hongyan Liu, Yuxin Chen, Dong Zhang, Haifeng Zhou, and Chunming Wu. 2021a. MTP: Avoiding control plane overload with measurement task placement. In IEEE INFOCOM. 1-10.","journal-title":"IEEE INFOCOM."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWQOS52092.2021.9521329"},{"key":"e_1_3_2_1_5_1","first-page":"1","article-title":"SPEED","author":"Chen Xiang","year":"2020","unstructured":"Xiang Chen, Hongyan Liu, Qun Huang, Peiqiao Wang, Dong Zhang, Haifeng Zhou, and Chunming Wu. 2020. SPEED: Resource-Efficient and High-Performance Deployment for Data Plane Programs. In IEEE ICNP. 1-12.","journal-title":"Resource-Efficient and High-Performance Deployment for Data Plane Programs. In IEEE ICNP."},{"key":"e_1_3_2_1_6_1","volume-title":"Hermes: Low-Overhead Inter-Switch Coordination in Network-Wide Data Plane Program Deployment","author":"Chen Xiang","year":"2024","unstructured":"Xiang Chen, Hongyan Liu, Qingjiang Xiao, Qun Huang, Dong Zhang, Haifeng Zhou, Boyang Zhou, Chunming Wu, Xuan Liu, and Qiang Yang. 2024a. Hermes: Low-Overhead Inter-Switch Coordination in Network-Wide Data Plane Program Deployment. IEEE\/ACM Transactions on Networking (2024), 2842-2857."},{"key":"e_1_3_2_1_7_1","volume-title":"Eagle: Toward Scalable and Near-Optimal Network-Wide Sketch Deployment in Network Measurement. In ACM SIGCOMM. 291\u2013310.","author":"Chen Xiang","year":"2024","unstructured":"Xiang Chen, Qingjiang Xiao, Hongyan Liu, Qun Huang, Dong Zhang, Xuan Liu, Longbing Hu, Haifeng Zhou, Chunming Wu, and Kui Ren. 2024b. Eagle: Toward Scalable and Near-Optimal Network-Wide Sketch Deployment in Network Measurement. In ACM SIGCOMM. 291\u2013310."},{"key":"e_1_3_2_1_8_1","unstructured":"CPLEX. 2025. https:\/\/www.ibm.com\/analytics\/cplex-optimizer."},{"key":"e_1_3_2_1_9_1","volume-title":"Mixture of experts for network optimization: A large language model-enabled approach. arXiv preprint arXiv:2402.09756","author":"Du Hongyang","year":"2024","unstructured":"Hongyang Du, Guangyuan Liu, Yijing Lin, Dusit Niyato, Jiawen Kang, Zehui Xiong, and Dong In Kim. 2024. Mixture of experts for network optimization: A large language model-enabled approach. arXiv preprint arXiv:2402.09756 (2024)."},{"key":"e_1_3_2_1_10_1","volume-title":"User-centric interactive AI for distributed diffusion model-based AI-generated content. arXiv preprint arXiv:2311.11094","author":"Du Hongyang","year":"2023","unstructured":"Hongyang Du, Ruichen Zhang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Shuguang Cui, Xuemin Shen, and Dong In Kim. 2023. User-centric interactive AI for distributed diffusion model-based AI-generated content. arXiv preprint arXiv:2311.11094 (2023)."},{"key":"e_1_3_2_1_11_1","first-page":"275","article-title":"MoonGen: A scriptable high-speed packet generator","author":"Emmerich Paul","year":"2015","unstructured":"Paul Emmerich, Sebastian Gallenm\u00fcller, Daniel Raumer, Florian Wohlfart, and Georg Carle. 2015. MoonGen: A scriptable high-speed packet generator. In ACM IMC. 275-287.","journal-title":"ACM IMC."},{"key":"e_1_3_2_1_12_1","volume-title":"Rui Miao, Yu Zhou, Bingchuan Tian, Chen Sun, Dennis Cai, Ming Zhang, and Minlan Yu.","author":"Gao Jiaqi","year":"2020","unstructured":"Jiaqi Gao, Ennan Zhai, Hongqiang Harry Liu, Rui Miao, Yu Zhou, Bingchuan Tian, Chen Sun, Dennis Cai, Ming Zhang, and Minlan Yu. 2020. Lyra: A cross-platform language and compiler for data plane programming on heterogeneous asics. In ACM SIGCOMM. 435-450."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.540"},{"key":"e_1_3_2_1_14_1","unstructured":"Yang Gu Hengyu You Jian Cao Muran Yu Haoran Fan and Shiyou Qian. 2025. Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey. ACM Trans. Softw. Eng. Methodol. (2025)."},{"key":"e_1_3_2_1_15_1","first-page":"357","article-title":"Sonata: Query-driven streaming network telemetry","author":"Gupta Arpit","year":"2018","unstructured":"Arpit Gupta, Rob Harrison, Marco Canini, Nick Feamster, Jennifer Rexford, and Walter Willinger. 2018. Sonata: Query-driven streaming network telemetry. In ACM SIGCOMM. 357-371.","journal-title":"ACM SIGCOMM."},{"key":"e_1_3_2_1_16_1","unstructured":"Gurobi Optimizer. 2025. http:\/\/www.gurobi.com."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-1412-4_25"},{"key":"e_1_3_2_1_18_1","first-page":"1","article-title":"Modular Switch Programming Under Resource Constraints","author":"Hogan Mary","year":"2022","unstructured":"Mary Hogan, Shir Landau-Feibish, Mina Tahmasbi Arashloo, Jennifer Rexford, and David Walker. 2022. Modular Switch Programming Under Resource Constraints. In USENIX NSDI. 1-15.","journal-title":"USENIX NSDI."},{"key":"e_1_3_2_1_19_1","volume-title":"Mc-moe: Mixture compressor for mixture-of-experts llms gains more. arXiv preprint arXiv:2410.06270","author":"Huang Wei","year":"2024","unstructured":"Wei Huang, Yue Liao, Jianhui Liu, Ruifei He, Haoru Tan, Shiming Zhang, Hongsheng Li, Si Liu, and Xiaojuan Qi. 2024. Mc-moe: Mixture compressor for mixture-of-experts llms gains more. arXiv preprint arXiv:2410.06270 (2024)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671507"},{"key":"e_1_3_2_1_21_1","first-page":"103","article-title":"Compiling Packet Programs to Reconfigurable Switches","author":"Jose Lavanya","year":"2015","unstructured":"Lavanya Jose, Lisa Yan, George Varghese, and Nick McKeown. 2015. Compiling Packet Programs to Reconfigurable Switches. In USENIX NSDI. 103-115.","journal-title":"USENIX NSDI."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2011.111002"},{"key":"e_1_3_2_1_23_1","volume-title":"Sm3det: A unified model for multi-modal remote sensing object detection. arXiv preprint arXiv:2412.20665","author":"Li Yuxuan","year":"2024","unstructured":"Yuxuan Li, Xiang Li, Yunheng Li, Yicheng Zhang, Yimian Dai, Qibin Hou, Ming-Ming Cheng, and Jian Yang. 2024. Sm3det: A unified model for multi-modal remote sensing object detection. arXiv preprint arXiv:2412.20665 (2024)."},{"key":"e_1_3_2_1_24_1","volume-title":"LLM-Sketch: Enhancing Network Sketches with LLM. arXiv preprint arXiv:2502.07495","author":"Li Yuanpeng","year":"2025","unstructured":"Yuanpeng Li, Zhen Xu, Zongwei Lv, Yannan Hu, Yong Cui, and Tong Yang. 2025. LLM-Sketch: Enhancing Network Sketches with LLM. arXiv preprint arXiv:2502.07495 (2025)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2024.3413388"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322112"},{"key":"e_1_3_2_1_27_1","volume-title":"V42","author":"Masoudnia Saeed","year":"2014","unstructured":"Saeed Masoudnia and Reza Ebrahimpour. 2014. Mixture of experts: a literature survey. Artificial Intelligence Review, V42 (2014), 275-293."},{"key":"e_1_3_2_1_28_1","unstructured":"Mininet. 2025. http:\/\/mininet.org\/."},{"key":"e_1_3_2_1_29_1","volume-title":"V35","author":"Mustafa Basil","year":"2022","unstructured":"Basil Mustafa, Carlos Riquelme, Joan Puigcerver, Rodolphe Jenatton, and Neil Houlsby. 2022. Multimodal contrastive learning with limoe: the language-image mixture of experts. Advances in Neural Information Processing Systems, V35 (2022), 9564-9576."},{"key":"e_1_3_2_1_30_1","first-page":"2179","article-title":"Efficiently embedding service function chains with dynamic virtual network function placement in geo-distributed cloud system","volume":"30","author":"Pei Jianing","year":"2018","unstructured":"Jianing Pei, Peilin Hong, Kaiping Xue, and Defang Li. 2018. Efficiently embedding service function chains with dynamic virtual network function placement in geo-distributed cloud system. IEEE Transactions on Parallel and Distributed Systems, V30, 10 (2018), 2179-2192.","journal-title":"IEEE Transactions on Parallel and Distributed Systems"},{"key":"e_1_3_2_1_31_1","volume-title":"TPTU: Large Language Model-based AI Agents for Task Planning and Tool Usage. arXiv:2308.03427 [cs.AI] https:\/\/arxiv.org\/abs\/2308.03427","author":"Ruan Jingqing","year":"2023","unstructured":"Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Guoqing Du, Shiwei Shi, Hangyu Mao, Ziyue Li, Xingyu Zeng, and Rui Zhao. 2023. TPTU: Large Language Model-based AI Agents for Task Planning and Tool Usage. arXiv:2308.03427 [cs.AI] https:\/\/arxiv.org\/abs\/2308.03427"},{"key":"e_1_3_2_1_32_1","first-page":"571","article-title":"Flightplan: Dataplane disaggregation and placement for p4 programs","author":"Sultana Nik","year":"2021","unstructured":"Nik Sultana, John Sonchack, Hans Giesen, Isaac Pedisich, Zhaoyang Han, Nishanth Shyamkumar, Shivani Burad, Andr\u00e9 DeHon, and Boon Thau Loo. 2021. Flightplan: Dataplane disaggregation and placement for p4 programs. In USENIX NSDI. 571-592.","journal-title":"USENIX NSDI."},{"key":"e_1_3_2_1_33_1","volume-title":"Dify: The open platform for LLMOps and AI-native apps. https:\/\/github.com\/langgenius\/dify. Accessed: 2025-05-13.","author":"Team LangGenius","year":"2023","unstructured":"LangGenius Team. 2023. Dify: The open platform for LLMOps and AI-native apps. https:\/\/github.com\/langgenius\/dify. Accessed: 2025-05-13."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.20944\/preprints202408.0583.v1"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3651890.3672268"},{"key":"e_1_3_2_1_36_1","volume-title":"Robust Audiovisual Speech Recognition Models with Mixture-of-Experts. In 2024 IEEE Spoken Language Technology Workshop (SLT). IEEE, 43-48","author":"Wu Yihan","year":"2024","unstructured":"Yihan Wu, Yifan Peng, Yichen Lu, Xuankai Chang, Ruihua Song, and Shinji Watanabe. 2024a. Robust Audiovisual Speech Recognition Models with Mixture-of-Experts. In 2024 IEEE Spoken Language Technology Workshop (SLT). IEEE, 43-48."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2024.3353265"},{"key":"e_1_3_2_1_38_1","first-page":"798","article-title":"Clickinc: In-network computing as a service in heterogeneous programmable data-center networks","author":"Wenquan Xu","year":"2023","unstructured":"Wenquan Xu et al., 2023. Clickinc: In-network computing as a service in heterogeneous programmable data-center networks. In ACM SIGCOMM. 798-815.","journal-title":"ACM SIGCOMM."},{"key":"e_1_3_2_1_39_1","volume-title":"LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes. arXiv preprint arXiv:2501.04004","author":"Xu Xiang","year":"2025","unstructured":"Xiang Xu, Lingdong Kong, Hui Shuai, Liang Pan, Ziwei Liu, and Qingshan Liu. 2025a. LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes. arXiv preprint arXiv:2501.04004 (2025)."},{"key":"e_1_3_2_1_40_1","unstructured":"Yunting Xu Jiacheng Wang Ruichen Zhang Changyuan Zhao Dusit Niyato Jiawen Kang Zehui Xiong Bo Qian Haibo Zhou Shiwen Mao et al. 2025b. Decentralization of Generative AI via Mixture of Experts for Wireless Networks: A Comprehensive Survey. arXiv preprint arXiv:2504.19660 (2025)."},{"key":"e_1_3_2_1_41_1","volume-title":"Raphael: Text-to-image generation via large mixture of diffusion paths. Advances in Neural Information Processing Systems, V36","author":"Xue Zeyue","year":"2023","unstructured":"Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, and Ping Luo. 2023. Raphael: Text-to-image generation via large mixture of diffusion paths. Advances in Neural Information Processing Systems, V36 (2023), 41693-41706."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2200299"},{"key":"e_1_3_2_1_43_1","volume-title":"V211","author":"Zhang Songli","year":"2022","unstructured":"Songli Zhang, Weijia Jia, Zhiqing Tang, Jiong Lou, and Wei Zhao. 2022a. Efficient instance reuse approach for service function chain placement in mobile edge computing. Computer Networks, V211 (2022), 109010."},{"key":"e_1_3_2_1_44_1","volume-title":"Xi Victoria Lin, et al","author":"Zhang Susan","year":"2022","unstructured":"Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, et al., 2022b. Opt: Open pre-trained transformer language models. arXiv preprint arXiv:2205.01068 (2022)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2023.3237244"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3629136"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3666025.3699355"}],"event":{"name":"KDD '26: The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Jeju Island Republic of Korea","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2"],"original-title":[],"deposited":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T01:35:15Z","timestamp":1786066515000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3770855.3818879"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,8]]},"references-count":47,"alternative-id":["10.1145\/3770855.3818879","10.1145\/3770855"],"URL":"https:\/\/doi.org\/10.1145\/3770855.3818879","relation":{},"subject":[],"published":{"date-parts":[[2026,8,8]]},"assertion":[{"value":"2026-08-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}