{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T23:51:22Z","timestamp":1783036282250,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":68,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,6,22]]},"DOI":"10.1145\/3722212.3724460","type":"proceedings-article","created":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T09:00:26Z","timestamp":1750150826000},"page":"689-702","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Unlocking the Potential of CXL for Disaggregated Memory in Cloud-Native Databases"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8507-4444","authenticated-orcid":false,"given":"Xinjun","family":"Yang","sequence":"first","affiliation":[{"name":"Alibaba Cloud Computing, Sunnyvale, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2568-5424","authenticated-orcid":false,"given":"Yingqiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8249-7046","authenticated-orcid":false,"given":"Hao","family":"Chen","sequence":"additional","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0770-5775","authenticated-orcid":false,"given":"Feifei","family":"Li","sequence":"additional","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5077-0091","authenticated-orcid":false,"given":"Gerry","family":"Fan","sequence":"additional","affiliation":[{"name":"XConn Technologies, San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7390-8315","authenticated-orcid":false,"given":"Yang","family":"Kong","sequence":"additional","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7955-202X","authenticated-orcid":false,"given":"Bo","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9050-403X","authenticated-orcid":false,"given":"Jing","family":"Fang","sequence":"additional","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4408-2129","authenticated-orcid":false,"given":"Yuhui","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6507-8106","authenticated-orcid":false,"given":"Tao","family":"Huang","sequence":"additional","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9827-3888","authenticated-orcid":false,"given":"Wenpu","family":"Hu","sequence":"additional","affiliation":[{"name":"Alibaba Cloud Computing, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1014-5536","authenticated-orcid":false,"given":"Jim","family":"Kao","sequence":"additional","affiliation":[{"name":"XConn Technologies, San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1750-660X","authenticated-orcid":false,"given":"Jianping","family":"Jiang","sequence":"additional","affiliation":[{"name":"XConn Technologies, San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,6,22]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2020. CXL And Gen-Z Iron Out A Coherent Interconnect Strategy. https:\/\/www.nextplatform.com\/2020\/04\/03\/cxl-and-gen-z-iron-out-a-coherent-interconnect-strategy\/."},{"key":"e_1_3_2_1_2_1","unstructured":"2022. EFI Special Purpose Memory Support. https:\/\/lwn.net\/Articles\/784971\/."},{"key":"e_1_3_2_1_3_1","unstructured":"2024. Intel\u00ae Memory Latency Checker. https:\/\/www.intel.com\/content\/www\/us\/en\/developer\/articles\/tool\/intelr-memory-latency-checker.html."},{"key":"e_1_3_2_1_4_1","volume-title":"2018 USENIX Annual Technical Conference (USENIX ATC 18)","author":"Aguilera Marcos K","year":"2018","unstructured":"Marcos K Aguilera, Nadav Amit, Irina Calciu, Xavier Deguillard, Jayneel Gandhi, Stanko Novakovic, Arun Ramanathan, Pratap Subrahmanyam, Lalith Suresh, Kiran Tati, et al. 2018. Remote Regions: a Simple Abstraction for Remote Memory. In 2018 USENIX Annual Technical Conference (USENIX ATC 18). 775--787."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3533737.3535090"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.14778\/3685800.3685809"},{"key":"e_1_3_2_1_7_1","volume-title":"Effectively Prefetching Remote Memory with Leap. In 2020 USENIX Annual Technical Conference (USENIX ATC 20)","author":"Maruf Hasan Al","year":"2020","unstructured":"Hasan Al Maruf and Mosharaf Chowdhury. 2020. Effectively Prefetching Remote Memory with Leap. In 2020 USENIX Annual Technical Conference (USENIX ATC 20). 843--857."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3299869.3314047"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3545008.3545054"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2022.3229627"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3529336.3530817"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.14778\/3236187.3236209"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3457560"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2901318.2901349"},{"key":"e_1_3_2_1_15_1","unstructured":"CXL Consortium. 2019. Compute Express Link (CXL) 1.0 Specification. https:\/\/computeexpresslink.org\/wp-content\/uploads\/2024\/02\/CXL-1.1-Specification.pdf."},{"key":"e_1_3_2_1_16_1","unstructured":"CXL Consortium. 2020. Compute Express Link (CXL) 2.0 Specification. https:\/\/computeexpresslink.org\/wp-content\/uploads\/2024\/02\/CXL-2.0-Specification.pdf."},{"key":"e_1_3_2_1_17_1","unstructured":"CXL Consortium. 2022. Compute Express Link (CXL) 3.1 Specification. https:\/\/computeexpresslink.org\/wp-content\/uploads\/2024\/02\/CXL-3.1-Specification.pdf."},{"key":"e_1_3_2_1_18_1","unstructured":"Transaction Processing Performance Council. 1992. On-Line Transaction Processing Benchmark. https:\/\/www.tpc.org\/tpcc\/."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.14778\/3611540.3611542"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2815400.2815425"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2023.3237491"},{"key":"e_1_3_2_1_22_1","volume-title":"High-Performance Memory Disaggregation with DIRECTCXL. In 2022 USENIX Annual Technical Conference (USENIX ATC 22)","author":"Gouk Donghyun","year":"2022","unstructured":"Donghyun Gouk, Sangwon Lee, Miryeong Kwon, and Myoungsoo Jung. 2022. Direct Access, High-Performance Memory Disaggregation with DIRECTCXL. In 2022 USENIX Annual Technical Conference (USENIX ATC 22). 287--294."},{"key":"e_1_3_2_1_23_1","volume-title":"Efficient Memory Disaggregation with Infiniswap. In 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17)","author":"Gu Juncheng","year":"2017","unstructured":"Juncheng Gu, Youngmoon Lee, Yiwen Zhang, Mosharaf Chowdhury, and Kang G Shin. 2017. Efficient Memory Disaggregation with Infiniswap. In 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17). 649--667."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00447"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3639286"},{"key":"e_1_3_2_1_26_1","volume-title":"CXL-ANNS: Software-Hardware Collaborative Memory Disaggregation and Computation for Billion-Scale Approximate Nearest Neighbor Search. In 2023 USENIX Annual Technical Conference (USENIX ATC 23)","author":"Jang Junhyeok","year":"2023","unstructured":"Junhyeok Jang, Hanjin Choi, Hanyeoreum Bae, Seungjun Lee, Miryeong Kwon, and Myoungsoo Jung. 2023. CXL-ANNS: Software-Hardware Collaborative Memory Disaggregation and Computation for Billion-Scale Approximate Nearest Neighbor Search. In 2023 USENIX Annual Technical Conference (USENIX ATC 23). 585--600."},{"key":"e_1_3_2_1_27_1","volume-title":"Aurogon: Taming Aborts in All Phases for Distributed In-Memory Transactions. In 20th USENIX Conference on File and Storage Technologies (FAST 21)","author":"Jiang Tianyang","year":"2022","unstructured":"Tianyang Jiang, Guangyan Zhang, Zhiyue Li, and Weimin Zheng. 2022. Aurogon: Taming Aborts in All Phases for Distributed In-Memory Transactions. In 20th USENIX Conference on File and Storage Technologies (FAST 21). USENIX Association."},{"key":"e_1_3_2_1_28_1","volume-title":"Scalable and Simple Distributed Transactions with Two-Sided (RDMA) Datagram RPCs. In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16)","author":"Kalia Anuj","year":"2016","unstructured":"Anuj Kalia, Michael Kaminsky, and David G Andersen. 2016. FaSST: Fast, Scalable and Simple Distributed Transactions with Two-Sided (RDMA) Datagram RPCs. In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16). 185--201."},{"key":"e_1_3_2_1_29_1","volume-title":"Sysbench: A System Performance Benchmark","author":"Kopytov Alexey","year":"2004","unstructured":"Alexey Kopytov. 2004. Sysbench: A System Performance Benchmark. http:\/\/sysbench. sourceforge.net\/ (2004)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.14778\/3529337.3529350"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.14778\/3675034.3675047"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.14778\/3352063.3352141"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.14778\/3685800.3685806"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3575693.3578835"},{"key":"e_1_3_2_1_35_1","volume-title":"ROLEX: A Scalable RDMA-Oriented Learned Key-Value Store for Disaggregated Memory Systems. In 21st USENIX Conference on File and Storage Technologies (FAST 23)","author":"Li Pengfei","year":"2023","unstructured":"Pengfei Li, Yu Hua, Pengfei Zuo, Zhangyu Chen, and Jiajie Sheng. 2023. ROLEX: A Scalable RDMA-Oriented Learned Key-Value Store for Disaggregated Memory Systems. In 21st USENIX Conference on File and Storage Technologies (FAST 23). 99--114."},{"key":"e_1_3_2_1_36_1","volume-title":"Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing. In 2024 ACM\/IEEE 51st Annual International Symposium on Computer Architecture (ISCA). IEEE, 382--395","author":"Liu Haifeng","year":"2024","unstructured":"Haifeng Liu, Long Zheng, Yu Huang, Jingyi Zhou, Chaoqiang Liu, Runze Wang, Xiaofei Liaot, Hai Jinf, and Jingling Xue. 2024. Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing. In 2024 ACM\/IEEE 51st Annual International Symposium on Computer Architecture (ISCA). IEEE, 382--395."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.14778\/3675034.3675050"},{"key":"e_1_3_2_1_38_1","volume-title":"SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory. In 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 23)","author":"Luo Xuchuan","year":"2023","unstructured":"Xuchuan Luo, Pengfei Zuo, Jiacheng Shen, Jiazhen Gu, Xin Wang, Michael R Lyu, and Yangfan Zhou. 2023. SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory. In 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 23). 553--571."},{"key":"e_1_3_2_1_39_1","volume-title":"HydraRPC RPC in the CXL Era. In 2024 USENIX Annual Technical Conference (USENIX ATC 24)","author":"Ma Teng","year":"2024","unstructured":"Teng Ma, Zheng Liu, Chengkun Wei, Jialiang Huang, Youwei Zhuo, Haoyu Li, Ning Zhang, Yijin Guan, Dimin Niu, Mingxing Zhang, et al. 2024. HydraRPC RPC in the CXL Era. In 2024 USENIX Annual Technical Conference (USENIX ATC 24). 387--395."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-024-00846-z"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3582016.3582063"},{"key":"e_1_3_2_1_42_1","unstructured":"Micron. 2023. Micron's Perspective on Impact of CXL on DRAM Bit Growth Rate. https:\/\/tw.micron.com\/content\/dam\/micron\/global\/public\/products\/white-paper\/cxl-impact-dram-bit-growth-white-paper.pdf."},{"key":"e_1_3_2_1_43_1","unstructured":"Simo Neuvonen Antoni Wolski Markku Manner and Vilho Raatikk. 2011. Telecom Application Transaction Processing Benchmark. http:\/\/tatpbenchmark.sourceforge.net\/."},{"key":"e_1_3_2_1_44_1","volume-title":"Instant Recovery for Main Memory Databases. In Conference on Innovative Data Systems Research (CIDR).","author":"Oukid Ismail","year":"2015","unstructured":"Ismail Oukid, Wolfgang Lehner, Thomas Kissinger, Thomas Willhalm, and Peter Bumbulis. 2015. Instant Recovery for Main Memory Databases. In Conference on Innovative Data Systems Research (CIDR)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3617232.3624857"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3582016.3582055"},{"key":"e_1_3_2_1_47_1","volume-title":"Application-Integrated Far Memory. In 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20)","author":"Ruan Zhenyuan","year":"2020","unstructured":"Zhenyuan Ruan, Malte Schwarzkopf, Marcos K Aguilera, and Adam Belay. 2020. AIFM: High-Performance, Application-Integrated Far Memory. In 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20). 315--332."},{"key":"e_1_3_2_1_48_1","volume-title":"Scaling and performance challenges of future DRAM. In 2020 IEEE international memory workshop (IMW)","author":"Shiratake Shigeru","unstructured":"Shigeru Shiratake. 2020. Scaling and performance challenges of future DRAM. In 2020 IEEE international memory workshop (IMW). IEEE, 1--3."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627703.3650061"},{"key":"e_1_3_2_1_50_1","unstructured":"XConn Technologies. 2023. World's first CXL 2.0 and PCIe Gen5 Switch IC. https:\/\/www.xconn-tech.com\/product."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3517824"},{"key":"e_1_3_2_1_52_1","volume-title":"2023 IEEE 39th International Conference on Data Engineering (ICDE). IEEE, 2835--2849","author":"Wang Ruihong","unstructured":"Ruihong Wang, Jianguo Wang, Prishita Kadam, M. Tamer \u00d6zsu, and Walid G. Aref. 2023. dLSM: An LSM-Based Index for Memory Disaggregation. In 2023 IEEE 39th International Conference on Data Engineering (ICDE). IEEE, 2835--2849."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3690825"},{"key":"e_1_3_2_1_54_1","volume-title":"Unifying Timestamp with Transaction Ordering for MVCC with Decentralized Scalar Timestamp. In 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21)","author":"Wei Xingda","year":"2021","unstructured":"Xingda Wei, Rong Chen, Haibo Chen, Zhaoguo Wang, Zhenhan Gong, and Binyu Zang. 2021. Unifying Timestamp with Transaction Ordering for MVCC with Decentralized Scalar Timestamp. In 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21). 357--372."},{"key":"e_1_3_2_1_55_1","volume-title":"13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18)","author":"Wei Xingda","year":"2018","unstructured":"Xingda Wei, Zhiyuan Dong, Rong Chen, and Haibo Chen. 2018. Deconstructing RDMA-enabled Distributed Transactions: Hybrid is Better!. In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18). 233--251."},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/2815400.2815419"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3064011"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626246.3653377"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.14778\/3611540.3611562"},{"key":"e_1_3_2_1_60_1","volume-title":"Motor: Enabling Multi-Versioning for Distributed Transactions on Disaggregated Memory. In 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 24)","author":"Zhang Ming","year":"2024","unstructured":"Ming Zhang, Yu Hua, and Zhijun Yang. 2024. Motor: Enabling Multi-Versioning for Distributed Transactions on Disaggregated Memory. In 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 24). 801--819."},{"key":"e_1_3_2_1_61_1","volume-title":"20th USENIX Conference on File and Storage Technologies (FAST 22)","author":"Zhang Ming","year":"2022","unstructured":"Ming Zhang, Yu Hua, Pengfei Zuo, and Lurong Liu. 2022. FORD: Fast one-sided RDMA-based distributed transactions for disaggregated persistent memory. In 20th USENIX Conference on File and Storage Technologies (FAST 22). 51--68."},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3600006.3613135"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.14778\/3397230.3397249"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.14778\/3467861.3467877"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00384"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.14778\/3565816.3565826"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.5555\/2685048.2685085"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/3299869.3300081"}],"event":{"name":"SIGMOD\/PODS '25: International Conference on Management of Data","location":"Berlin Germany","acronym":"SIGMOD\/PODS '25","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Companion of the 2025 International Conference on Management of Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3722212.3724460","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:41:13Z","timestamp":1757544073000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3722212.3724460"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,22]]},"references-count":68,"alternative-id":["10.1145\/3722212.3724460","10.1145\/3722212"],"URL":"https:\/\/doi.org\/10.1145\/3722212.3724460","relation":{},"subject":[],"published":{"date-parts":[[2025,6,22]]},"assertion":[{"value":"2025-06-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}