{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T01:41:44Z","timestamp":1755826904942,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":76,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,4,22]],"date-time":"2024-04-22T00:00:00Z","timestamp":1713744000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Institute for Information and Communication Technology Promotion","award":["2015-0-00221"],"award-info":[{"award-number":["2015-0-00221"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,4,22]]},"DOI":"10.1145\/3627703.3629558","type":"proceedings-article","created":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T06:28:28Z","timestamp":1713421708000},"page":"370-386","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Blaze: Holistic Caching for Iterative Data Processing"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8530-2184","authenticated-orcid":false,"given":"Won Wook","family":"Song","sequence":"first","affiliation":[{"name":"FriendliAI"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8086-384X","authenticated-orcid":false,"given":"Jeongyoon","family":"Eo","sequence":"additional","affiliation":[{"name":"Seoul National University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4372-6712","authenticated-orcid":false,"given":"Taegeon","family":"Um","sequence":"additional","affiliation":[{"name":"Samsung Research"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0748-6627","authenticated-orcid":false,"given":"Myeongjae","family":"Jeon","sequence":"additional","affiliation":[{"name":"UNIST"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9863-7186","authenticated-orcid":false,"given":"Byung-Gon","family":"Chun","sequence":"additional","affiliation":[{"name":"Seoul National University and FriendliAI"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,4,22]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Caching in the Multiverse. In 11th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 19)","author":"Abdi Mania","year":"2019","unstructured":"Mania Abdi, Amin Mosayyebzadeh, Mohammad Hossein Hajkazemi, Ata Turk, Orran Krieger, and Peter Desnoyers. 2019. Caching in the Multiverse. In 11th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 19). USENIX Association, Renton, WA. https:\/\/www.usenix.org\/conference\/hotstorage19\/presentation\/abdi"},{"key":"e_1_3_2_1_2_1","unstructured":"Alluxio Inc. 2023. Alluxio - Data Orchestration for the Cloud. https:\/\/www.alluxio.io"},{"key":"e_1_3_2_1_3_1","unstructured":"Amazon Web Services Inc. 2023. Amazon AWS. https:\/\/aws.amazon.com"},{"key":"e_1_3_2_1_4_1","unstructured":"Apache Software Foundation. 2023. Apache Beam. https:\/\/beam.apache.org."},{"key":"e_1_3_2_1_5_1","unstructured":"Apache Software Foundation. 2023. Apache Flink. https:\/\/flink.apache.org\/."},{"key":"e_1_3_2_1_6_1","unstructured":"Apache Software Foundation. 2023. Apache Nemo. https:\/\/nemo.apache.org."},{"key":"e_1_3_2_1_7_1","unstructured":"Apache Software Foundation. 2023. Apache Spark. https:\/\/spark.apache.org."},{"key":"e_1_3_2_1_8_1","unstructured":"Apache Software Foundation. 2023. Spark Connected Components. https:\/\/github.com\/apache\/spark\/blob\/v3.3.2\/graphx\/src\/main\/scala\/org\/apache\/spark\/graphx\/lib\/ConnectedComponents.scala."},{"key":"e_1_3_2_1_9_1","unstructured":"Apache Software Foundation. 2023. Spark DAG Scheduler. https:\/\/github.com\/apache\/spark\/blob\/branch-2.4\/core\/src\/main\/scala\/org\/apache\/spark\/scheduler\/DAGScheduler.scala."},{"key":"e_1_3_2_1_10_1","unstructured":"Apache Software Foundation. 2023. Spark Gradient Boosted Trees. https:\/\/github.com\/apache\/spark\/blob\/v3.3.2\/mllib\/src\/main\/scala\/org\/apache\/spark\/ml\/tree\/impl\/GradientBoostedTrees.scala."},{"key":"e_1_3_2_1_11_1","unstructured":"Apache Software Foundation. 2023. Spark K-means Clustering. htps:\/\/github.com\/apache\/spark\/blob\/v3.3.2\/mllib\/src\/main\/scala\/org\/apache\/spark\/ml\/clustering\/KMeans.scala."},{"key":"e_1_3_2_1_12_1","unstructured":"Apache Software Foundation. 2023. Spark Logistic Regression. htps:\/\/github.com\/apache\/spark\/blob\/v3.3.2\/mllib\/src\/main\/scala\/org\/apache\/spark\/ml\/classification\/LogisticRegression.scala."},{"key":"e_1_3_2_1_13_1","unstructured":"Apache Software Foundation. 2023. Spark LRU Eviction. htps:\/\/spark.apache.org\/docs\/latest\/rdd-programming-guide.html#removing-data."},{"key":"e_1_3_2_1_14_1","unstructured":"Apache Software Foundation. 2023. Spark PageRank. htps:\/\/github.com\/apache\/spark\/blob\/v3.3.2\/graphx\/src\/main\/scala\/org\/apache\/spark\/graphx\/lib\/PageRank.scala."},{"key":"e_1_3_2_1_15_1","unstructured":"Apache Software Foundation. 2023. Spark RDD Block Eviction. htps:\/\/github.com\/apache\/spark\/blob\/master\/core\/src\/main\/scala\/org\/apache\/spark\/storage\/memory\/MemoryStore.scala#L434"},{"key":"e_1_3_2_1_16_1","unstructured":"Apache Software Foundation. 2023. Spark SVD++. https:\/\/github.com\/apache\/spark\/blob\/v3.3.2\/graphx\/src\/main\/scala\/org\/apache\/spark\/graphx\/lib\/SVDPlusPlus.scala."},{"key":"e_1_3_2_1_17_1","unstructured":"Apache Software Foundation. 2023. Spark Unified Memory Manager. https:\/\/github.com\/apache\/spark\/blob\/master\/core\/src\/main\/scala\/org\/apache\/spark\/memory\/UnifiedMemoryManager.scala"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/346000.346003"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3387514.3405883"},{"key":"e_1_3_2_1_20_1","volume-title":"15th USENIX Symposium on Networked Systems Design and Implementation (NSDI 18)","author":"Beckmann Nathan","year":"2018","unstructured":"Nathan Beckmann, Haoxian Chen, and Asaf Cidon. 2018. LHD: Improving Cache Hit Rate by Maximizing Hit Density. In 15th USENIX Symposium on Networked Systems Design and Implementation (NSDI 18). USENIX Association, Renton, WA, 389--403. https:\/\/www.usenix.org\/conference\/nsdi18\/presentation\/beckmann"},{"key":"e_1_3_2_1_21_1","volume-title":"13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18)","author":"Berger Daniel S.","year":"2018","unstructured":"Daniel S. Berger, Benjamin Berg, Timothy Zhu, Siddhartha Sen, and Mor Harchol-Balter. 2018. RobinHood: Tail Latency Aware Caching -Dynamic Reallocation from Cache-Rich to Cache-Poor. In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18). USENIX Association, Carlsbad, CA, 195--212. https:\/\/www.usenix.org\/conference\/osdi18\/presentation\/berger"},{"key":"e_1_3_2_1_22_1","volume-title":"14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17)","author":"Berger Daniel S.","year":"2017","unstructured":"Daniel S. Berger, Ramesh K. Sitaraman, and Mor Harchol-Balter. 2017. AdaptSize: Orchestrating the Hot Object Memory Cache in a Content Delivery Network. In 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17). USENIX Association, Boston, MA, 483--498. https:\/\/www.usenix.org\/conference\/nsdi17\/technical-sessions\/presentation\/berger"},{"volume-title":"Hyperbolic Caching: Flexible Caching for Web Applications. In 2017 USENIX Annual Technical Conference (USENIX ATC 17)","author":"Blankstein Aaron","key":"e_1_3_2_1_23_1","unstructured":"Aaron Blankstein, Siddhartha Sen, and Michael J. Freedman. 2017. Hyperbolic Caching: Flexible Caching for Web Applications. In 2017 USENIX Annual Technical Conference (USENIX ATC 17). USENIX Association, Santa Clara, CA, 499--511. https:\/\/www.usenix.org\/conference\/atc17\/technical-sessions\/presentation\/blankstein"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.14778\/3007263.3007279"},{"key":"e_1_3_2_1_25_1","unstructured":"Tianqi Chen Bing Xu Chiyuan Zhang and Carlos Guestrin. 2016. Training Deep Nets with Sublinear Memory Cost. (2016). arXiv:1604.06174 [cs.LG]"},{"key":"e_1_3_2_1_26_1","unstructured":"Brian Cho and Ergin Seyfe. 2019. Taking advantage of a disaggregated storage and compute architecture."},{"volume-title":"14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20)","author":"Chung Andrew","key":"e_1_3_2_1_27_1","unstructured":"Andrew Chung, Subru Krishnan, Konstantinos Karanasos, Carlo Curino, and Gregory R. Ganger. 2020. Unearthing inter-job dependencies for better cluster scheduling. In 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20). USENIX Association, 1205--1223. https:\/\/www.usenix.org\/conference\/osdi20\/presentation\/chung"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/PL00012580"},{"volume-title":"Introduction to algorithms","author":"Cormen Thomas H","key":"e_1_3_2_1_29_1","unstructured":"Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, and Clifford Stein. 2022. Introduction to algorithms. MIT press."},{"key":"e_1_3_2_1_30_1","unstructured":"CriteoLabs. 2023. Terabyte Click Logs. https:\/\/labs.criteo.com\/2013\/12\/download-terabyte-click-logs-2"},{"key":"e_1_3_2_1_31_1","volume-title":"MapReduce: Simplified Data Processing on Large Clusters. In 6th Symposium on Operating Systems Design & Implementation (OSDI 04)","author":"Dean Jeffrey","year":"2004","unstructured":"Jeffrey Dean and Sanjay Ghemawat. 2004. MapReduce: Simplified Data Processing on Large Clusters. In 6th Symposium on Operating Systems Design & Implementation (OSDI 04). USENIX Association, San Francisco, CA. https:\/\/www.usenix.org\/conference\/osdi-04\/mapreduce-simplified-data-processing-large-clusters"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3149371"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10766-016-0470-1"},{"key":"e_1_3_2_1_34_1","unstructured":"Sebastien Godard. 2023. iostat. https:\/\/github.com\/sysstat\/sysstat"},{"key":"e_1_3_2_1_35_1","volume-title":"11th USENIX Symposium on Operating Systems Design and Implementation (OSDI 14)","author":"Gonzalez Joseph E.","year":"2014","unstructured":"Joseph E. Gonzalez, Reynold S. Xin, Ankur Dave, Daniel Crankshaw, Michael J. Franklin, and Ion Stoica. 2014. GraphX: Graph Processing in a Distributed Dataflow Framework. In 11th USENIX Symposium on Operating Systems Design and Implementation (OSDI 14). USENIX Association, Broomfield, CO, 599--613. https:\/\/www.usenix.org\/conference\/osdi14\/technical-sessions\/presentation\/gonzalez"},{"key":"e_1_3_2_1_36_1","volume-title":"Nectar: Automatic Management of Data and Computation in Datacenters. In 9th USENIX Symposium on Operating Systems Design and Implementation (OSDI 10)","author":"Gunda Pradeep Kumar","year":"2010","unstructured":"Pradeep Kumar Gunda, Lenin Ravindranath, Chandramohan A. Thekkath, Yuan Yu, and Li Zhuang. 2010. Nectar: Automatic Management of Data and Computation in Datacenters. In 9th USENIX Symposium on Operating Systems Design and Implementation (OSDI 10). USENIX Association, Vancouver, BC. https:\/\/www.usenix.org\/conference\/osdi10\/nectar-automatic-management-data-and-computation-datacenters"},{"key":"e_1_3_2_1_37_1","unstructured":"Gurobi Optimization LLC. 2023. Gurobi Optimizer Reference Manual. https:\/\/www.gurobi.com"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDEW.2010.5452747"},{"key":"e_1_3_2_1_39_1","volume-title":"Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics. In 2019 USENIX Annual Technical Conference (USENIX ATC 19)","author":"Huang Yuzhen","year":"2019","unstructured":"Yuzhen Huang, Xiao Yan, Guanxian Jiang, Tatiana Jin, James Cheng, An Xu, Zhanhao Liu, and Shuo Tu. 2019. Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics. In 2019 USENIX Annual Technical Conference (USENIX ATC 19). USENIX Association, Renton, WA, 191--206. https:\/\/www.usenix.org\/conference\/atc19\/presentation\/huang"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/1272996.1273005"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3190656"},{"key":"e_1_3_2_1_42_1","volume-title":"Logistic Regression: A Self-Learning Text","author":"Kleinbaum David G","year":"2002","unstructured":"David G Kleinbaum, K Dietz, M Gail, Mitchel Klein, and Mitchell Klein. 2002. Logistic Regression: A Self-Learning Text. Springer."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/2741948.2741956"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/2742854.2747283"},{"key":"e_1_3_2_1_46_1","unstructured":"Google LLC. 2023. Google Cloud Dataflow. https:\/\/cloud.google.com\/dataflow"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"key":"e_1_3_2_1_48_1","volume-title":"arXiv:2110.11602 [cs.DS]","author":"Matani Dhruv","year":"2021","unstructured":"Dhruv Matani, Ketan Shah, and Anirban Mitra. 2021. An O(1) algorithm for implementing the LFU cache eviction scheme. (2021). arXiv:2110.11602 [cs.DS]"},{"volume-title":"Low Overhead Replacement Cache. In 2nd USENIX Conference on File and Storage Technologies (FAST 03)","author":"Megiddo Nimrod","key":"e_1_3_2_1_49_1","unstructured":"Nimrod Megiddo and Dharmendra S. Modha. 2003. ARC: A Self-Tuning, Low Overhead Replacement Cache. In 2nd USENIX Conference on File and Storage Technologies (FAST 03). USENIX Association, San Francisco, CA. https:\/\/www.usenix.org\/conference\/fast-03\/arc-self-tuning-low-overhead-replacement-cache"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946679"},{"volume-title":"Introduction to linear regression analysis","author":"Montgomery Douglas C","key":"e_1_3_2_1_51_1","unstructured":"Douglas C Montgomery, Elizabeth A Peck, and G Geoffrey Vining. 2021. Introduction to linear regression analysis. John Wiley & Sons."},{"key":"e_1_3_2_1_52_1","unstructured":"Lawrence Page Sergey Brin Rajeev Motwani and Terry Winograd. 1999. The PageRank citation ranking: Bringing order to the web. Technical Report. Stanford InfoLab."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378505"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3225058.3225087"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2006.49"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.14778\/3352063.3352082"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2742790"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3546591.3547524"},{"key":"e_1_3_2_1_59_1","volume-title":"Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks. In 2023 USENIX Annual Technical Conference (USENIX ATC 23)","author":"Song Won Wook","year":"2023","unstructured":"Won Wook Song, Taegeon Um, Sameh Elnikety, Myeongjae Jeon, and Byung-Gon Chun. 2023. Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks. In 2023 USENIX Annual Technical Conference (USENIX ATC 23). USENIX Association, Boston, MA, 301--314. https:\/\/www.usenix.org\/conference\/atc23\/presentation\/song"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/3468144"},{"key":"e_1_3_2_1_61_1","volume-title":"Learning Relaxed Belady for Content Distribution Network Caching. In 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20)","author":"Song Zhenyu","year":"2020","unstructured":"Zhenyu Song, Daniel S. Berger, Kai Li, and Wyatt Lloyd. 2020. Learning Relaxed Belady for Content Distribution Network Caching. In 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20). USENIX Association, Santa Clara, CA, 529--544. htps:\/\/www.usenix.org\/conference\/nsdi20\/presentation\/song"},{"key":"e_1_3_2_1_62_1","volume-title":"Driving Cache Replacement with ML-based LeCaR. In 10th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 18)","author":"Vietri Giuseppe","year":"2018","unstructured":"Giuseppe Vietri, Liana V. Rodriguez, Wendy A. Martinez, Steven Lyons, Jason Liu, Raju Rangaswami, Ming Zhao, and Giri Narasimhan. 2018. Driving Cache Replacement with ML-based LeCaR. In 10th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 18). USENIX Association, Boston, MA. https:\/\/www.usenix.org\/conference\/hotstorage18\/presentation\/vietri"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","unstructured":"Bo Wang Jie Tang Rui Zhang Wei Ding and Deyu Qi. 2018. LCRC: A Dependency-Aware Cache Management Policy for Spark. In 2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications Ubiquitous Computing & Communications Big Data & Cloud Computing Social Computing & Networking Sustainable Computing & Communications (ISPA\/IUCC\/BDCloud\/SocialCom\/SustainCom). 956--963. https:\/\/doi.org\/10.1109\/BDCloud.2018.00140","DOI":"10.1109\/BDCloud.2018.00140"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178487.3178491"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2016.105"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS47924.2020.00047"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/3369583.3392684"},{"key":"e_1_3_2_1_68_1","volume-title":"Apache Nemo: A Framework for Building Distributed Dataflow Optimization Policies. In 2019 USENIX Annual Technical Conference (USENIX ATC 19)","author":"Yang Youngseok","year":"2019","unstructured":"Youngseok Yang, Jeongyoon Eo, Geon-Woo Kim, Joo Yeon Kim, Sanha Lee, Jangho Seo, Won Wook Song, and Byung-Gon Chun. 2019. Apache Nemo: A Framework for Building Distributed Dataflow Optimization Policies. In 2019 USENIX Annual Technical Conference (USENIX ATC 19). USENIX Association, Renton, WA, 177--190. https:\/\/www.usenix.org\/conference\/atc19\/presentation\/yang-youngseok"},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3064176.3064181"},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646301"},{"key":"e_1_3_2_1_71_1","volume-title":"Proceedings of the 8th USENIX Conference on Operating Systems Design and Implementation","author":"Yu Yuan","year":"2008","unstructured":"Yuan Yu, Michael Isard, Dennis Fetterly, Mihai Budiu, \u00dalfar Erlingsson, Pradeep Kumar Gunda, and Jon Currey. 2008. DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language. In Proceedings of the 8th USENIX Conference on Operating Systems Design and Implementation (San Diego, California) (OSDI'08). USENIX Association, USA, 1--14."},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2017.8057007"},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2017.8254999"},{"key":"e_1_3_2_1_74_1","volume-title":"Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing. In 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12)","author":"Zaharia Matei","year":"2012","unstructured":"Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauly, Michael J. Franklin, Scott Shenker, and Ion Stoica. 2012. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing. In 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12). USENIX Association, San Jose, CA, 15--28. https:\/\/www.usenix.org\/conference\/nsdi12\/technical-sessions\/presentation\/zaharia"},{"volume-title":"14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17)","author":"Zhang Haoyu","key":"e_1_3_2_1_75_1","unstructured":"Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodik, Matthai Philipose, Paramvir Bahl, and Michael J. Freedman. 2017. Live Video Analytics at Scale with Approximation and Delay-Tolerance. In 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17). USENIX Association, Boston, MA, 377--392. https:\/\/www.usenix.org\/conference\/nsdi17\/technical-sessions\/presentation\/zhang"},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA45697.2020.00092"}],"event":{"name":"EuroSys '24: Nineteenth European Conference on Computer Systems","sponsor":["SIGOPS ACM Special Interest Group on Operating Systems"],"location":"Athens Greece","acronym":"EuroSys '24"},"container-title":["Proceedings of the Nineteenth European Conference on Computer Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627703.3629558","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627703.3629558","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T01:10:46Z","timestamp":1755825046000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627703.3629558"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,22]]},"references-count":76,"alternative-id":["10.1145\/3627703.3629558","10.1145\/3627703"],"URL":"https:\/\/doi.org\/10.1145\/3627703.3629558","relation":{},"subject":[],"published":{"date-parts":[[2024,4,22]]},"assertion":[{"value":"2024-04-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}