{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T17:54:12Z","timestamp":1775066052353,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":71,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,8,4]],"date-time":"2024-08-04T00:00:00Z","timestamp":1722729600000},"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":[[2024,8,4]]},"DOI":"10.1145\/3651890.3672265","type":"proceedings-article","created":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T13:11:43Z","timestamp":1722431503000},"page":"691-706","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":98,"title":["Alibaba HPN: A Data Center Network for Large Language Model Training"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9882-9279","authenticated-orcid":false,"given":"Kun","family":"Qian","sequence":"first","affiliation":[{"name":"Alibaba Cloud, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0520-2196","authenticated-orcid":false,"given":"Yongqing","family":"Xi","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5468-7366","authenticated-orcid":false,"given":"Jiamin","family":"Cao","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3548-2030","authenticated-orcid":false,"given":"Jiaqi","family":"Gao","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Bellevue, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7436-171X","authenticated-orcid":false,"given":"Yichi","family":"Xu","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0726-3933","authenticated-orcid":false,"given":"Yu","family":"Guan","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1213-0554","authenticated-orcid":false,"given":"Binzhang","family":"Fu","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2307-8024","authenticated-orcid":false,"given":"Xuemei","family":"Shi","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9592-0438","authenticated-orcid":false,"given":"Fangbo","family":"Zhu","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1436-2374","authenticated-orcid":false,"given":"Rui","family":"Miao","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Sunnyvale, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5676-102X","authenticated-orcid":false,"given":"Chao","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3743-8596","authenticated-orcid":false,"given":"Peng","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6740-227X","authenticated-orcid":false,"given":"Pengcheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-2015-189X","authenticated-orcid":false,"given":"Xianlong","family":"Zeng","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9145-2898","authenticated-orcid":false,"given":"Eddie","family":"Ruan","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Sunnyvale, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3802-9293","authenticated-orcid":false,"given":"Zhiping","family":"Yao","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4352-7497","authenticated-orcid":false,"given":"Ennan","family":"Zhai","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7272-8143","authenticated-orcid":false,"given":"Dennis","family":"Cai","sequence":"additional","affiliation":[{"name":"Alibaba Cloud, Sunnyvale, United States of America"}]}],"member":"320","published-online":{"date-parts":[[2024,8,4]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2004. Virtual Router Redundancy Protocol (VRRP). https:\/\/datatracker.ietf.org\/doc\/html\/rfc3768#page-19. (2004)."},{"key":"e_1_3_2_1_2_1","volume-title":"Physical Layers, and Management Parameters for Energy-Efficient Ethernet. https:\/\/standards.ieee.org\/ieee\/802.3az\/4270\/.","year":"2010","unstructured":"2010. IEEE Standard for Information technology- Local and metropolitan area networks- Specific requirements- Part 3: CSMA\/CD Access Method and Physical Layer Specifications Amendment 5: Media Access Control Parameters, Physical Layers, and Management Parameters for Energy-Efficient Ethernet. https:\/\/standards.ieee.org\/ieee\/802.3az\/4270\/. (2010)."},{"key":"e_1_3_2_1_3_1","unstructured":"2019. In-Service Software Upgrade (ISSU). https:\/\/www.cisco.com\/c\/en\/us\/td\/docs\/switches\/lan\/catalyst_standalones\/b-in-service-software-upgrade-issu.html. (2019)."},{"key":"e_1_3_2_1_4_1","unstructured":"2021. Credo Announces HiWire SWITCH AEC - Enabling Simpler Faster and More Reliable Dual TOR Connectivity. http:\/\/go.aussiebum.com\/1KiYZf. (2021)."},{"key":"e_1_3_2_1_5_1","unstructured":"2021. Demystifying Dual TOR - Credo's SWITCH AEC and Upstream NOS Support. https:\/\/stordis.com\/wp-content\/uploads\/documents\/Credo-Stordis-Webinar-5-19-22.pdf. (2021)."},{"key":"e_1_3_2_1_6_1","unstructured":"2022. Meta Works with NVIDIA to Build Massive AI Research Supercomputer. https:\/\/blogs.nvidia.com\/blog\/meta-ai-supercomputer-dgx\/. (2022)."},{"key":"e_1_3_2_1_7_1","unstructured":"2022. Troubleshoot The SwitchPort Packet Loss. https:\/\/img-en.fs.com\/file\/user_manual\/switch-port-packet-loss-troubleshooting.pdf. (2022)."},{"key":"e_1_3_2_1_8_1","unstructured":"2022. Understanding Multichassis Link Aggregation Groups. https:\/\/www.juniper.net\/documentation\/us\/en\/software\/junos\/mc-lag\/topics\/concept\/mc-lag-feature-summary-best-practices.html. (2022)."},{"key":"e_1_3_2_1_9_1","unstructured":"2023. Cisco Nexus 9800 Series Switches Data Sheet Data Sheet. https:\/\/www.cisco.com\/c\/en\/us\/products\/collateral\/switches\/nexus-9000-series-switches\/nexus9800-series-switches-ds.html. (2023)."},{"key":"e_1_3_2_1_10_1","unstructured":"2023. CoreWeave partners with Vast Data for AI cloud. http:\/\/go.aussiebum.com\/xmGt7T. (2023)."},{"key":"e_1_3_2_1_11_1","volume-title":"EoR, MoR, or ToR? https:\/\/www.anfkomftth.com\/data-center-cabling-eor-mor-or-tor\/.","year":"2023","unstructured":"2023. Data center cabling, EoR, MoR, or ToR? https:\/\/www.anfkomftth.com\/data-center-cabling-eor-mor-or-tor\/. (2023)."},{"key":"e_1_3_2_1_12_1","unstructured":"2023. Google unveils A3 supercomputer VMs capable of scaling to 26 000 Nvidia H100 GPUs. http:\/\/go.aussiebum.com\/WrjpXtng. (2023)."},{"key":"e_1_3_2_1_14_1","unstructured":"2023. How to Build Low-cost Networks for Large Language Models (without Sacrificing Performance)? https:\/\/arxiv.org\/abs\/2307.12169. (2023)."},{"key":"e_1_3_2_1_15_1","unstructured":"2023. Introducing ChatGPT. https:\/\/openai.com\/blog\/chatgpt. (2023)."},{"key":"e_1_3_2_1_16_1","unstructured":"2023. Introducing Gemini: our largest and most capable AI model. https:\/\/blog.google\/technology\/ai\/google-gemini-ai\/sundar-note. (2023)."},{"key":"e_1_3_2_1_17_1","unstructured":"2023. LLaMA: Open and Efficient Foundation Language Models. (2023). arXiv:cs.CL\/2302.13971"},{"key":"e_1_3_2_1_18_1","unstructured":"2023. Load Balancing on Aggregated Ethernet Interfaces. https:\/\/www.juniper.net\/documentation\/us\/en\/software\/junos\/high-availability\/topics\/topic-map\/load-balancing-aggregated-ethernet-interfaces.html. (2023)."},{"key":"e_1_3_2_1_19_1","unstructured":"2023. Meta's evolution of network for AI - presented by Meta. https:\/\/www.youtube.com\/watch?v=5gOOtFySrqA. (2023)."},{"key":"e_1_3_2_1_20_1","unstructured":"2023. Microsoft Azure Eagle is a Paradigm Shifting Cloud Supercomputer. https:\/\/www.servethehome.com. (2023)."},{"key":"e_1_3_2_1_21_1","unstructured":"2023. NVIDIA DGX SuperPOD: Next Generation Scalable Infrastructure for AI Leadership. https:\/\/docs.nvidia.com\/https:\/docs.nvidia.com\/dgx-superpod-reference-architecture-dgx-h100.pdf. (2023)."},{"key":"e_1_3_2_1_22_1","unstructured":"2023. NVIDIA Spectrum-X Network Platform Architecture. https:\/\/www.virtualgraffiti.com.au\/datasheets\/Nvidia\/pdf7.pdf. (2023)."},{"key":"e_1_3_2_1_23_1","unstructured":"2023. Project Ceiba: AWS and Nvidia plan to build world's largest cloud AI supercomputer. http:\/\/go.aussiebum.com\/kx21Ey4b. (2023)."},{"key":"e_1_3_2_1_24_1","unstructured":"2023. Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90% ChatGPTQuality. https:\/\/lmsys.org\/blog\/2023-03-30-vicuna\/. (2023)."},{"key":"e_1_3_2_1_25_1","unstructured":"2023. What Is ISSU? https:\/\/info.support.huawei.com\/info-finder\/encyclopedia\/en\/ISSU.html. (2023)."},{"key":"e_1_3_2_1_26_1","unstructured":"2023. What Is Stacking? https:\/\/info.support.huawei.com\/info-finder\/encyclopedia\/en\/Stacking.html. (2023)."},{"key":"e_1_3_2_1_27_1","unstructured":"2024. 7800 Series. https:\/\/www.arista.com\/en\/qsg-7800-series\/7800-series-overview. (2024)."},{"key":"e_1_3_2_1_28_1","unstructured":"2024. CloudEngine 16800 Series Data Center Switches. https:\/\/e.huawei.com\/en\/products\/switches\/data-center-switches\/ce16800. (2024)."},{"key":"e_1_3_2_1_29_1","unstructured":"2024. Configuring Virtual Port Channels. https:\/\/www.cisco.com\/c\/en\/us\/td\/docs\/switches\/datacenter\/nexus5000\/sw\/layer2\/503_n2_1\/503_n2_1nw\/Cisco_n5k_layer2_config_gd_rel_503_N2_1_chapter8.html. (2024)."},{"key":"e_1_3_2_1_30_1","unstructured":"2024. DeepSpeed. https:\/\/www.microsoft.com\/en-us\/research\/project\/deepspeed\/. (2024)."},{"key":"e_1_3_2_1_31_1","unstructured":"2024. Dual ToR Evolution: Active-Active ToR Deep Dive. https:\/\/drive.google.com\/file\/d\/1RtYYk1JHv7WnyABrUVj7FiRMZu2KEYtL\/view?usp=drive_link. (2024)."},{"key":"e_1_3_2_1_32_1","unstructured":"2024. H3C S12500X-AF Data Center Cloud Core Series Switches. https:\/\/www.h3c.com\/en\/Products_and_Solutions\/InterConnect\/Switches\/Products\/Data_Center\/Core\/S12500\/H3C_S12500\/. (2024)."},{"key":"e_1_3_2_1_33_1","unstructured":"2024. H3C S5500-SI Series Ethernet Switches Operation Manual(V1.01) 36-Stack Management Configuration. https:\/\/www.h3c.com\/en\/d_200712\/211816_294551_0.htm. (2024)."},{"key":"e_1_3_2_1_34_1","unstructured":"2024. Heat Pipe Technology. https:\/\/www.heatpipe.com\/. (2024)."},{"key":"e_1_3_2_1_35_1","unstructured":"2024. Heat Pipes & Vapor Chambers - What's the Difference? https:\/\/celsiainc.com\/heat-sink-blog\/heat-pipes-vapor-chambers-difference\/. (2024)."},{"key":"e_1_3_2_1_36_1","unstructured":"2024. HEATSINK TECHNOLOGY VAPOR CHAMBER HEATSINK. https:\/\/radianheatsinks.com\/vapor-chamber-heatsink\/. (2024)."},{"key":"e_1_3_2_1_37_1","unstructured":"2024. HPE E5500 - Stacking with HUAWEI or H3C Brand Switches. https:\/\/support.hpe.com\/hpesc\/public\/docDisplay?docId=c03662589&docLocale=en_US. (2024)."},{"key":"e_1_3_2_1_38_1","unstructured":"2024. IEEE 802.3ad. https:\/\/standards.ieee.org\/ieee\/802.3ad\/1088\/. (2024)."},{"key":"e_1_3_2_1_39_1","unstructured":"2024. Link Aggregation Overview. https:\/\/www.cisco.com\/assets\/sol\/sb\/Switches_Emulators_v2_3_5_xx\/help\/250\/index.html\/page\/tesla_250_olh\/aggregating_ports.html. (2024)."},{"key":"e_1_3_2_1_40_1","unstructured":"2024. Linux Bonding Modes. https:\/\/thelinuxcluster.com\/2010\/01\/08\/linux-bonding-modes\/. (2024)."},{"key":"e_1_3_2_1_41_1","unstructured":"2024. Megatron-LM. https:\/\/github.com\/NVIDIA\/Megatron-LM. (2024)."},{"key":"e_1_3_2_1_42_1","unstructured":"2024. MLAG vs. Stacking vs. LACP. https:\/\/community.fs.com\/article\/mlag-vs-stacking-vs-lacp.html. (2024)."},{"key":"e_1_3_2_1_43_1","unstructured":"2024. Model Checkpointing. https:\/\/deepspeed.readthedocs.io\/en\/latest\/model-checkpointing.html. (2024)."},{"key":"e_1_3_2_1_44_1","unstructured":"2024. Multi-Chassis Link Aggregation - MLAG. https:\/\/docs.nvidia.com\/networking-ethernet-software\/cumulus-linux-55\/Layer-2\/Multi-Chassis-Link-Aggregation-MLAG\/. (2024)."},{"key":"e_1_3_2_1_45_1","unstructured":"2024. NVIDIA BLUEFIELD-3 DPU PROGRAMMABLE DATA CENTER INFRASTRUCTURE ON-A-CHIP. https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/Data-Center\/documents\/datasheet-nvidia-bluefield-3-dpu.pdf. (2024)."},{"key":"e_1_3_2_1_46_1","unstructured":"2024. NVIDIA Collective Communications Library (NCCL). https:\/\/developer.nvidia.com\/nccl. (2024)."},{"key":"e_1_3_2_1_47_1","unstructured":"2024. NVIDIA DGX Cloud. https:\/\/www.nvidia.com\/en-us\/data-center\/dgx-cloud\/. (2024)."},{"key":"e_1_3_2_1_48_1","unstructured":"2024. NVIDIA H800 PCIe 80 GB. https:\/\/www.techpowerup.com\/gpu-specs\/h800-pcie-80-gb.c4181. (2024)."},{"key":"e_1_3_2_1_49_1","unstructured":"2024. NVLink and NVSwitch. https:\/\/www.nvidia.com\/en-us\/data-center\/nvlink\/. (2024)."},{"key":"e_1_3_2_1_50_1","unstructured":"2024. RG-N18010-XH - Next Generation Data Center Network High-Density Centralized Modular Core Switch with 100GE\/400GE Line Cards and Eight Service Slots. https:\/\/www.ruijienetworks.com\/products\/switches\/data-center-switches\/RG-N18010-XH\/. (2024)."},{"key":"e_1_3_2_1_51_1","unstructured":"2024. The Basics of Heat Pipes - Their History Principle and Varieties explained. https:\/\/www.global.dnp\/biz\/column\/detail\/10162360_4117.html. (2024)."},{"key":"e_1_3_2_1_52_1","unstructured":"2024. Understanding In-Service Software Upgrade (ISSU) in ACX5000 Series Routers. https:\/\/www.juniper.net\/documentation\/us\/en\/software\/junos\/high-availability\/topics\/concept\/issu-on-acx5000-overview.html. (2024)."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/1402958.1402967"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/2619239.2626316"},{"key":"e_1_3_2_1_55_1","volume-title":"Empowering Azure Storage with RDMA. In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23)","author":"Bai Wei","year":"2023","unstructured":"Wei Bai, Shanim Sainul Abdeen, Ankit Agrawal, Krishan Kumar Attre, Paramvir Bahl, Ameya Bhagat, Gowri Bhaskara, Tanya Brokhman, Lei Cao, Ahmad Cheema, Rebecca Chow, Jeff Cohen, Mahmoud Elhaddad, Vivek Ette, Igal Figlin, Daniel Firestone, Mathew George, Ilya German, Lakhmeet Ghai, Eric Green, Albert Greenberg, Manish Gupta, Randy Haagens, Matthew Hendel, Ridwan Howlader, Neetha John, Julia Johnstone, Tom Jolly, Greg Kramer, David Kruse, Ankit Kumar, Erica Lan, Ivan Lee, Avi Levy, Marina Lipshteyn, Xin Liu, Chen Liu, Guohan Lu, Yuemin Lu, Xiakun Lu, Vadim Makhervaks, Ulad Malashanka, David A. Maltz, Ilias Marinos, Rohan Mehta, Sharda Murthi, Anup Namdhari, Aaron Ogus, Jitendra Padhye, Madhav Pandya, Douglas Phillips, Adrian Power, Suraj Puri, Shachar Raindel, Jordan Rhee, Anthony Russo, Maneesh Sah, Ali Sheriff, Chris Sparacino, Ashutosh Srivastava, Weixiang Sun, Nick Swanson, Fuhou Tian, Lukasz Tomczyk, Vamsi Vadlamuri, Alec Wolman, Ying Xie, Joyce Yom, Lihua Yuan, Yanzhao Zhang, and Brian Zill. 2023. Empowering Azure Storage with RDMA. In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23). USENIX Association, Boston, MA, 49--67. https:\/\/www.usenix.org\/conference\/nsdi23\/presentation\/bai"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2013.6567015"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3098822.3098839"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/1592568.1592576"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/3579371.3589350"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/3005745.3005751"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/2890955.2890968"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3603269.3604836"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544216.3544265"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544216.3544226"},{"key":"e_1_3_2_1_65_1","volume-title":"Ammar Ahmad Awan, Jeff Rasley, and Yuxiong He.","author":"Rajbhandari Samyam","year":"2022","unstructured":"Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, and Yuxiong He. 2022. DeepSpeedMoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale. In Proceedings of the 39th International Conference on Machine Learning (Proceedings of Machine Learning Research), Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvari, Gang Niu, and Sivan Sabato (Eds.), Vol. 162. PMLR, 18332--18346. https:\/\/proceedings.mlr.press\/v162\/rajbhandari22a.html"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1145\/2535372.2535397"},{"key":"e_1_3_2_1_67_1","volume-title":"Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism. CoRR abs\/1909.08053","author":"Shoeybi Mohammad","year":"2019","unstructured":"Mohammad Shoeybi, Mostofa Patwary, Raul Puri, Patrick LeGresley, Jared Casper, and Bryan Catanzaro. 2019. Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism. CoRR abs\/1909.08053 (2019). arXiv:1909.08053 http:\/\/arxiv.org\/abs\/1909.08053"},{"key":"e_1_3_2_1_68_1","volume-title":"Proceedings of the 14th USENIX Conference on Networked Systems Design and Implementation (NSDI'17)","author":"Vanini Erico","year":"2017","unstructured":"Erico Vanini, Rong Pan, Mohammad Alizadeh, Parvin Taheri, and Tom Edsall. 2017. Let it flow: resilient asymmetric load balancing with flowlet switching. In Proceedings of the 14th USENIX Conference on Networked Systems Design and Implementation (NSDI'17). USENIX Association, USA, 407--420."},{"key":"e_1_3_2_1_69_1","volume-title":"Hashing Design in Modern Networks: Challenges and Mitigation Techniques. In 2022 USENIX Annual Technical Conference (USENIX ATC 22)","author":"Xu Yunhong","year":"2022","unstructured":"Yunhong Xu, Keqiang He, Rui Wang, Minlan Yu, Nick Duffield, Hassan Wassel, Shidong Zhang, Leon Poutievski, Junlan Zhou, and Amin Vahdat. 2022. Hashing Design in Modern Networks: Challenges and Mitigation Techniques. In 2022 USENIX Annual Technical Conference (USENIX ATC 22). USENIX Association, Carlsbad, CA, 805--818. https:\/\/www.usenix.org\/conference\/atc22\/presentation\/xu"},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1145\/2342356.2342390"},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/3098822.3098841"},{"key":"e_1_3_2_1_72_1","volume-title":"Hashing Linearity Enables Relative Path Control in Data Centers. In 2021 USENIX Annual Technical Conference (USENIX ATC 21)","author":"Zhang Zhehui","year":"2021","unstructured":"Zhehui Zhang, Haiyang Zheng, Jiayao Hu, Xiangning Yu, Chenchen Qi, Xuemei Shi, and Guohui Wang. 2021. Hashing Linearity Enables Relative Path Control in Data Centers. In 2021 USENIX Annual Technical Conference (USENIX ATC 21). USENIX Association, 855--862. https:\/\/www.usenix.org\/conference\/atc21\/presentation\/zhang-zhehui"}],"event":{"name":"ACM SIGCOMM '24: ACM SIGCOMM 2024 Conference","location":"Sydney NSW Australia","acronym":"ACM SIGCOMM '24","sponsor":["SIGCOMM ACM Special Interest Group on Data Communication"]},"container-title":["Proceedings of the ACM SIGCOMM 2024 Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3651890.3672265","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3651890.3672265","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T17:49:13Z","timestamp":1750268953000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3651890.3672265"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,4]]},"references-count":71,"alternative-id":["10.1145\/3651890.3672265","10.1145\/3651890"],"URL":"https:\/\/doi.org\/10.1145\/3651890.3672265","relation":{},"subject":[],"published":{"date-parts":[[2024,8,4]]},"assertion":[{"value":"2024-08-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}