{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T15:45:53Z","timestamp":1772725553110,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":110,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,3,30]],"date-time":"2025-03-30T00:00:00Z","timestamp":1743292800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006374","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["CCF-1919044"],"award-info":[{"award-number":["CCF-1919044"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSF Career Award","award":["CNS-2144796"],"award-info":[{"award-number":["CNS-2144796"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,3,30]]},"DOI":"10.1145\/3669940.3707226","type":"proceedings-article","created":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T12:28:01Z","timestamp":1738844881000},"page":"164-181","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Coach: Exploiting Temporal Patterns for All-Resource Oversubscription in Cloud Platforms"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-6185-2250","authenticated-orcid":false,"given":"Benjamin","family":"Reidys","sequence":"first","affiliation":[{"name":"University of Illinois Urbana-Champaign, Urbana, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1004-6398","authenticated-orcid":false,"given":"Pantea","family":"Zardoshti","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2591-4012","authenticated-orcid":false,"given":"\u00cd\u00f1igo","family":"Goiri","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3951-9320","authenticated-orcid":false,"given":"Celine","family":"Irvene","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3911-1512","authenticated-orcid":false,"given":"Daniel S.","family":"Berger","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, USA, & University of Washington, Seattle, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4797-8562","authenticated-orcid":false,"given":"Haoran","family":"Ma","sequence":"additional","affiliation":[{"name":"University of California-Los Angeles, Los Angeles, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1844-2117","authenticated-orcid":false,"given":"Kapil","family":"Arya","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4010-5854","authenticated-orcid":false,"given":"Eli","family":"Cortez","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6682-6528","authenticated-orcid":false,"given":"Taylor","family":"Stark","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7308-7180","authenticated-orcid":false,"given":"Eugene","family":"Bak","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-4800-6109","authenticated-orcid":false,"given":"Mehmet","family":"Iyigun","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9331-6463","authenticated-orcid":false,"given":"Stanko","family":"Novakovic","sequence":"additional","affiliation":[{"name":"Google, Mountain View, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8907-8511","authenticated-orcid":false,"given":"Lisa","family":"Hsu","sequence":"additional","affiliation":[{"name":"Meta, Menlo Park, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7845-9452","authenticated-orcid":false,"given":"Karel","family":"Trueba","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5891-7987","authenticated-orcid":false,"given":"Abhisek","family":"Pan","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0102-8139","authenticated-orcid":false,"given":"Chetan","family":"Bansal","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0204-7187","authenticated-orcid":false,"given":"Saravan","family":"Rajmohan","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1125-671X","authenticated-orcid":false,"given":"Jian","family":"Huang","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign, Urbana, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5971-5084","authenticated-orcid":false,"given":"Ricardo","family":"Bianchini","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,3,30]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSPEC.2019.8651934"},{"key":"e_1_3_2_1_2_1","volume-title":"NSDI","author":"Alipourfard Omid","year":"2017","unstructured":"Omid Alipourfard, Hongqiang Harry Liu, Jianshu Chen, Shivaram Venkataraman, Minlan Yu, and Ming Zhang. CherryPick: Adaptively unearthing the best cloud configurations for big data analytics. In NSDI, 2017."},{"key":"e_1_3_2_1_3_1","volume-title":"OSDI","author":"Ambati Pradeep","year":"2020","unstructured":"Pradeep Ambati, \u00cd\u00f1igo Goiri, Felipe Frujeri, Alper Gun, Ke Wang, Brian Dolan, Brian Corell, Sekhar Pasupuleti, Thomas Moscibroda, Sameh Elnikety, Marcus Fontoura, and Ricardo Bianchini. Providing SLOs for Resource-Harvesting VMs in Cloud Platforms. In OSDI, 2020."},{"key":"e_1_3_2_1_4_1","volume-title":"https:\/\/learn.microsoft.com\/en-us\/azure\/virtual-machines\/sizes\/general-purpose\/d-family","author":"Series Azure","year":"2024","unstructured":"Azure. Azure D-Series. https:\/\/learn.microsoft.com\/en-us\/azure\/virtual-machines\/sizes\/general-purpose\/d-family, 2024."},{"key":"e_1_3_2_1_5_1","volume-title":"https:\/\/learn.microsoft.com\/enus\/virtualization\/hyper-v-on-windows\/reference\/hyper-varchitecture","author":"Architecture V","year":"2024","unstructured":"Azure. Hyper-V Architecture. https:\/\/learn.microsoft.com\/enus\/virtualization\/hyper-v-on-windows\/reference\/hyper-varchitecture, 2024."},{"key":"e_1_3_2_1_6_1","volume-title":"Hyper-V Memory Performance. https:\/\/learn.microsoft.com\/en-us\/windows-server\/administration\/performancetuning\/role\/hyper-v-server\/memory-performance","year":"2024","unstructured":"Azure. Hyper-V Memory Performance. https:\/\/learn.microsoft.com\/en-us\/windows-server\/administration\/performancetuning\/role\/hyper-v-server\/memory-performance, 2024."},{"key":"e_1_3_2_1_7_1","volume-title":"Live Migration Overview. https:\/\/learn.microsoft.com\/enus\/windows-server\/virtualization\/hyper-v\/manage\/live-migrationoverview","year":"2024","unstructured":"Azure. Live Migration Overview. https:\/\/learn.microsoft.com\/enus\/windows-server\/virtualization\/hyper-v\/manage\/live-migrationoverview, 2024."},{"key":"e_1_3_2_1_8_1","volume-title":"our new burstable VM size. https:\/\/azure.microsoft.com\/en-us\/blog\/introducing-b-seriesour-new-burstable-vm-size\/","author":"Azure Microsoft","year":"2017","unstructured":"Microsoft Azure. Introducing B-Series, our new burstable VM size. https:\/\/azure.microsoft.com\/en-us\/blog\/introducing-b-seriesour-new-burstable-vm-size\/, 2017."},{"key":"e_1_3_2_1_9_1","volume-title":"Azure Spot Virtual Machines. https:\/\/azure.microsoft.com\/en-us\/pricing\/spot","author":"Azure Microsoft","year":"2020","unstructured":"Microsoft Azure. Azure Spot Virtual Machines. https:\/\/azure.microsoft.com\/en-us\/pricing\/spot, 2020."},{"key":"e_1_3_2_1_10_1","volume-title":"Sizes for virtual machines in Azure. https:\/\/learn.microsoft.com\/en-us\/azure\/virtual-machines\/sizes","author":"Azure Microsoft","year":"2024","unstructured":"Microsoft Azure. Sizes for virtual machines in Azure. https:\/\/learn.microsoft.com\/en-us\/azure\/virtual-machines\/sizes, 2024."},{"key":"e_1_3_2_1_11_1","volume-title":"https:\/\/www.microsoft.com\/en-us\/evalcenter\/download-windows-server-2019","author":"Azure Microsoft","year":"2024","unstructured":"Microsoft Azure. Windows Server 2019. https:\/\/www.microsoft.com\/en-us\/evalcenter\/download-windows-server-2019, 2024."},{"key":"e_1_3_2_1_12_1","volume-title":"Windows Server 2025 Preview. https:\/\/www.microsoft.com\/en-us\/evalcenter\/evaluate-windows-server-2025","author":"Azure Microsoft","year":"2024","unstructured":"Microsoft Azure. Windows Server 2025 Preview. https:\/\/www.microsoft.com\/en-us\/evalcenter\/evaluate-windows-server-2025, 2024."},{"key":"e_1_3_2_1_13_1","volume-title":"The datacenter as a computer: An introduction to the design of warehouse-scale machines","author":"Barroso Luis Andre","year":"2022","unstructured":"Luis Andre Barroso and Jimmy Clidaras. The datacenter as a computer: An introduction to the design of warehouse-scale machines. 2022."},{"key":"e_1_3_2_1_14_1","volume-title":"Hot-ICE","author":"Baset Salman A.","year":"2012","unstructured":"Salman A. Baset, Long Wang, and Chunqiang Tang. Towards an Understanding of Oversubscription in Cloud. In Hot-ICE, 2012."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.suscom.2013.01.005"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3364684"},{"key":"e_1_3_2_1_17_1","volume-title":"OSDI","author":"Boutin Eric","year":"2014","unstructured":"Eric Boutin, Jaliya Ekanayake,Wei Lin, Bing Shi, Jingren Zhou, Zhengping Qian, Ming Wu, and Lidong Zhou. Apollo: Scalable and coordinated scheduling for Cloud-Scale computing. In OSDI, 2014."},{"key":"e_1_3_2_1_18_1","volume-title":"https:\/\/www.releases.ubuntu.com\/22.04\/","author":"Jammy Ubuntu","year":"2022","unstructured":"Canonical. Ubuntu 22.04.4 LTS (Jammy Jellyfish). https:\/\/www.releases.ubuntu.com\/22.04\/, 2022."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2670979.2670999"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2014.6848033"},{"key":"e_1_3_2_1_21_1","volume-title":"Sizes for virtual machines in Alibaba Cloud. https:\/\/www.alibabacloud.com\/help\/en\/ecs\/user-guide\/overviewof-instance-families","author":"Cloud Alibaba","year":"2024","unstructured":"Alibaba Cloud. Sizes for virtual machines in Alibaba Cloud. https:\/\/www.alibabacloud.com\/help\/en\/ecs\/user-guide\/overviewof-instance-families, 2024."},{"key":"e_1_3_2_1_22_1","volume-title":"Preemptible VM Instances. https:\/\/cloud.google.com\/compute\/docs\/instances\/preemptible","author":"Cloud Google","year":"2020","unstructured":"Google Cloud. Preemptible VM Instances. https:\/\/cloud.google.com\/compute\/docs\/instances\/preemptible, 2020."},{"key":"e_1_3_2_1_23_1","volume-title":"Overcommitting CPUs on sole-tenant VMs. https:\/\/cloud.google.com\/compute\/docs\/nodes\/overcommittingcpus-sole-tenant-vms","author":"Cloud Google","year":"2023","unstructured":"Google Cloud. Overcommitting CPUs on sole-tenant VMs. https:\/\/cloud.google.com\/compute\/docs\/nodes\/overcommittingcpus-sole-tenant-vms, 2023."},{"key":"e_1_3_2_1_24_1","volume-title":"Sizes for virtual machines in Google Cloud. https:\/\/cloud.google.com\/compute\/docs\/machine-resource","author":"Cloud Google","year":"2024","unstructured":"Google Cloud. Sizes for virtual machines in Google Cloud. https:\/\/cloud.google.com\/compute\/docs\/machine-resource, 2024."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132747.3132772"},{"key":"e_1_3_2_1_26_1","volume-title":"ASPLOS","author":"Delimitrou Christina","year":"2014","unstructured":"Christina Delimitrou and Christos Kozyrakis. Quasar: Resourceefficient and QoS-aware cluster management. In ASPLOS, 2014."},{"key":"e_1_3_2_1_27_1","volume-title":"https:\/\/dl.dell.com\/manuals\/all-products\/esuprt_data_center_infra_int\/esuprt_data_center_infra_storage_adapters\/dell-poweredge-exp-fsh-nvme-pcie-ssd_deployment-guide4_enus.pdf","author":"Dell","year":"2020","unstructured":"Dell. Dell P5600. https:\/\/dl.dell.com\/manuals\/all-products\/esuprt_data_center_infra_int\/esuprt_data_center_infra_storage_adapters\/dell-poweredge-exp-fsh-nvme-pcie-ssd_deployment-guide4_enus.pdf, 2020."},{"key":"e_1_3_2_1_28_1","volume-title":"ASPLOS","author":"Duan Yan","year":"2016","unstructured":"Yan Duan, Xi Chen, Rein Houthooft, John Schulman, and Pieter Abbeel. Benchmarking deep reinforcement learning for continuous control. In ASPLOS, 2016."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3582016.3582031"},{"key":"e_1_3_2_1_30_1","volume-title":"Fine-tune a pretrained model. https:\/\/huggingface.co\/docs\/transformers\/en\/training","author":"Face Hugging","year":"2024","unstructured":"Hugging Face. Fine-tune a pretrained model. https:\/\/huggingface.co\/docs\/transformers\/en\/training, 2024."},{"key":"e_1_3_2_1_31_1","volume-title":"Somesh Chaturmohta, Matt Humphrey, Jack Lavier","author":"Firestone Daniel","year":"2018","unstructured":"Daniel Firestone, Andrew Putnam, Sambhrama Mundkur, Derek Chiou, Alireza Dabagh, Mike Andrewartha, Hari Angepat, Vivek Bhanu, Adrian Caulfield, Eric Chung, Harish Kumar Chandrappa, Somesh Chaturmohta, Matt Humphrey, Jack Lavier, Norman Lam, Fengfen Liu, Kalin Ovtcharov, Jitu Padhye, Gautham Popuri, Shachar Raindel, Tejas Sapre, Mark Shaw, Gabriel Silva, Madhan Sivakumar, Nisheeth Srivastava, Anshuman Verma, Qasim Zuhair, Deepak Bansal, Doug Burger, Kushagra Vaid, David A. Maltz, and Albert Greenberg. Azure Accelerated Networking: SmartNICs in the Public Cloud. In NSDI, 2018."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503222.3507725"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3297858.3304013"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1519065.1519099"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3326285.3329074"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3698038.3698537"},{"key":"e_1_3_2_1_37_1","volume-title":"OSDI","author":"Hadary Ori","year":"2020","unstructured":"Ori Hadary, Luke Marshall, Ishai Menache, Abhisek Pan, Esaias E Greeff, David Dion, Star Dorminey, Shailesh Joshi, Yang Chen, Mark Russinovich, and Thomas Moscibroda. Protean: VM Allocation Service at Scale. In OSDI, 2020."},{"key":"e_1_3_2_1_38_1","volume-title":"https:\/\/hadoop.apache.org\/docs\/current\/api\/org\/apache\/hadoop\/examples\/terasort\/package-summary.html","author":"TeraSort Hadoop","year":"2024","unstructured":"Hadoop. Hadoop TeraSort. https:\/\/hadoop.apache.org\/docs\/current\/api\/org\/apache\/hadoop\/examples\/terasort\/package-summary.html, 2024."},{"key":"e_1_3_2_1_39_1","volume-title":"https:\/\/github.com\/Intel-bigdata\/HiBench","author":"PageRank HiBench","year":"2024","unstructured":"HiBench. HiBench PageRank. https:\/\/github.com\/Intel-bigdata\/HiBench, 2024."},{"key":"e_1_3_2_1_40_1","volume-title":"NSDI","author":"Hindman Benjamin","year":"2011","unstructured":"Benjamin Hindman, Andy Konwinski, Matei Zaharia, Ali Ghodsi, Anthony D Joseph, Randy Katz, Scott Shenker, and Ion Stoica. Mesos: A platform for Fine-Grained resource sharing in the data center. In NSDI, 2011."},{"key":"e_1_3_2_1_41_1","volume-title":"ASPLOS","author":"Hsu Chang-Hong","year":"2018","unstructured":"Chang-Hong Hsu, Qingyuan Deng, Jason Mars, and Lingjia Tang. SmoothOperator: Reducing power fragmentation and improving power utilization in large-scale datacenters. In ASPLOS, 2018."},{"key":"e_1_3_2_1_42_1","volume-title":"Workload Intelligence: Punching Holes Through the Cloud Abstraction","author":"Huang Lexiang","year":"2024","unstructured":"Lexiang Huang, Anjaly Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, \u00cd\u00f1igo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, and Ricardo Bianchini. Workload Intelligence: Punching Holes Through the Cloud Abstraction. 2024."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1080\/00224065.1993.11979473"},{"key":"e_1_3_2_1_44_1","volume-title":"Address Translation Services (ATS). https:\/\/www.intel.com\/content\/www\/us\/en\/docs\/programmable\/683686\/20-4\/addresstranslation-services-ats.html","year":"2024","unstructured":"Intel. Address Translation Services (ATS). https:\/\/www.intel.com\/content\/www\/us\/en\/docs\/programmable\/683686\/20-4\/addresstranslation-services-ats.html, 2024."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/1243418.1243426"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3620666.3651376"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2018.00045"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/2749469.2750392"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/1508293.1508308"},{"key":"e_1_3_2_1_50_1","volume-title":"ISCA","author":"Kontorinis Vasileios","year":"2012","unstructured":"Vasileios Kontorinis, Liuyi Eric Zhang, Baris Aksanli, Jack Sampson, Houman Homayoun, Eddie Pettis, Dean M Tullsen, and Tajana Simunic Rosing. Managing Distributed UPS Energy for Effective Power Capping in Data Centers. In ISCA, 2012."},{"key":"e_1_3_2_1_51_1","volume-title":"USENIX ATC","author":"Kumbhare Alok Gautam","year":"2021","unstructured":"Alok Gautam Kumbhare, Reza Azimi, Ioannis Manousakis, Anand Bonde, Felipe Frujeri, Nithish Mahalingam, Pulkit A. Misra, Seyyed Ahmad Javadi, Bianca Schroeder, Marcus Fontoura, and Ricardo Bianchini. Prediction-Based Power Oversubscription in Cloud Platforms. In USENIX ATC, 2021."},{"key":"e_1_3_2_1_52_1","volume-title":"https:\/\/www.linuxkvm.org\/page\/How_to_assign_devices_with_VT-d_in_KVM","author":"KVM.","year":"2024","unstructured":"KVM. How to assign devices with VT-d in KVM. https:\/\/www.linuxkvm.org\/page\/How_to_assign_devices_with_VT-d_in_KVM, 2024."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3297858.3304053"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3575693.3578835"},{"key":"e_1_3_2_1_55_1","volume-title":"OSDI","author":"Li Shaohong","year":"2020","unstructured":"Shaohong Li, Xi Wang, Faria Kalim, Xiao Zhang, Sangeetha Abdu Jyothi, Karan Grover, Vasileios Kontorinis, Nina Narodytska, Owolabi Legunsen, Sreekumar Kodakara, et al. Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale. In OSDI, 2020."},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2017.2688445"},{"key":"e_1_3_2_1_57_1","volume-title":"https:\/\/github.com\/microsoft\/LightGBM","author":"GBM.","year":"2024","unstructured":"LightGBM. LightGBM. https:\/\/github.com\/microsoft\/LightGBM, 2024."},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/2749469.2749475"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/3005745.3005750"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/3341302.3342080"},{"key":"e_1_3_2_1_61_1","volume-title":"Uptime Institute Symp","author":"Company McKinsey","year":"2008","unstructured":"McKinsey and Company. Revolutionizing data center efficiency. Uptime Institute Symp, 2008."},{"key":"e_1_3_2_1_62_1","volume-title":"https:\/\/memcached.org\/","year":"2024","unstructured":"Memcached. Memcached. https:\/\/memcached.org\/, 2024."},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/1809049.1809052"},{"key":"e_1_3_2_1_64_1","volume-title":"Deploy graphics devices by using Discrete Device Assignment. https:\/\/learn.microsoft.com\/en-us\/windowsserver\/virtualization\/hyper-v\/deploy\/deploying-graphics-devicesusing- dda","year":"2024","unstructured":"Microsoft. Deploy graphics devices by using Discrete Device Assignment. https:\/\/learn.microsoft.com\/en-us\/windowsserver\/virtualization\/hyper-v\/deploy\/deploying-graphics-devicesusing- dda, 2024."},{"key":"e_1_3_2_1_65_1","volume-title":"Introduction to Single Root I\/O Virtualization (SRIOV). https:\/\/learn.microsoft.com\/en-us\/windows-hardware\/drivers\/network\/single-root-i-o-virtualization--sr-iov-","year":"2024","unstructured":"Microsoft. Introduction to Single Root I\/O Virtualization (SRIOV). https:\/\/learn.microsoft.com\/en-us\/windows-hardware\/drivers\/network\/single-root-i-o-virtualization--sr-iov-, 2024."},{"key":"e_1_3_2_1_66_1","volume-title":"NSDI","author":"Ousterhout Amy","year":"2019","unstructured":"Amy Ousterhout, Joshua Fried, Jonathan Behrens, Adam Belay, and Hari Balakrishnan. Shenango: Achieving high CPU efficiency for latency-sensitive datacenter workloads. In NSDI, 2019."},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/2517349.2522716"},{"key":"e_1_3_2_1_68_1","volume-title":"Towards cloud efficiency with large-scale workload characterization","author":"Parayil Anjaly","year":"2024","unstructured":"Anjaly Parayil, Jue Zhang, Xiaoting Qin, \u00cd\u00f1igo Goiri, Lexiang Huang, Timothy Zhu, and Chetan Bansal. Towards cloud efficiency with large-scale workload characterization, 2024."},{"key":"e_1_3_2_1_69_1","volume-title":"NSDI","author":"Peng Yajuan","year":"2024","unstructured":"Yajuan Peng, Shuang Chen, Yi Zhao, and Zhibin Yu. UFO: The Ultimate QoS-Aware Core Management for Virtualized and Oversubscribed Public Clouds. In NSDI, 2024."},{"key":"e_1_3_2_1_70_1","volume-title":"https:\/\/pytorch.org\/docs\/stable\/generated\/torch.nn.LSTM.html","author":"LSTM.","year":"2024","unstructured":"PyTorch. LSTM. https:\/\/pytorch.org\/docs\/stable\/generated\/torch.nn.LSTM.html, 2024."},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/2391229.2391244"},{"key":"e_1_3_2_1_72_1","volume-title":"Ensemble-level power management for dense blade servers. ACM SIGARCH computer architecture news, 34(2):66--77","author":"Ranganathan Parthasarathy","year":"2006","unstructured":"Parthasarathy Ranganathan, Phil Leech, David Irwin, and Jeffrey Chase. Ensemble-level power management for dense blade servers. ACM SIGARCH computer architecture news, 34(2):66--77, 2006."},{"key":"e_1_3_2_1_73_1","volume-title":"OSDI","author":"Reidys Benjamin","year":"2022","unstructured":"Benjamin Reidys, Jinghan Sun, Anirudh Badam, Shadi Noghabi, and Jian Huang. BlockFlex: Enabling Storage Harvesting with Software-Defined Flash in Modern Cloud Platforms. In OSDI, 2022."},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1145\/2391229.2391236"},{"key":"e_1_3_2_1_75_1","volume-title":"NSDI","author":"Ruan Zhenyuan","year":"2023","unstructured":"Zhenyuan Ruan, Seo Jin Park, Marcos K Aguilera, Adam Belay, and Malte Schwarzkopf. Nu: Achieving Microsecond-Scale Resource Fungibility with Logical Processes. In NSDI, 2023."},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1145\/3186411.3186415"},{"key":"e_1_3_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447786.3456232"},{"key":"e_1_3_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1145\/3342195.3387524"},{"key":"e_1_3_2_1_79_1","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378533"},{"key":"e_1_3_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1145\/2465351.2465386"},{"key":"e_1_3_2_1_81_1","volume-title":"https:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.ensemble.RandomForestRegressor.html","year":"2024","unstructured":"scikit learn. RandomForestRegressor. https:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.ensemble.RandomForestRegressor.html, 2024."},{"key":"e_1_3_2_1_82_1","doi-asserted-by":"publisher","DOI":"10.1145\/3600006.3613156"},{"key":"e_1_3_2_1_83_1","volume-title":"Amazon EC2 M7i and M7i-flex instances. https:\/\/aws.amazon.com\/ec2\/instance-types\/m7i\/","author":"Services Amazon Web","year":"2019","unstructured":"Amazon Web Services. Amazon EC2 M7i and M7i-flex instances. https:\/\/aws.amazon.com\/ec2\/instance-types\/m7i\/, 2019."},{"key":"e_1_3_2_1_84_1","volume-title":"How Amazon ECS manages CPU and memory resources. https:\/\/aws.amazon.com\/blogs\/containers\/how-amazonecs-manages-cpu-and-memory-resources\/","author":"Services AmazonWeb","year":"2019","unstructured":"AmazonWeb Services. How Amazon ECS manages CPU and memory resources. https:\/\/aws.amazon.com\/blogs\/containers\/how-amazonecs-manages-cpu-and-memory-resources\/, 2019."},{"key":"e_1_3_2_1_85_1","volume-title":"Burstable Performance Instances. https:\/\/docs.aws.amazon.com\/AWSEC2\/ latest\/UserGuide\/burstable-performance-instances.html","author":"Services Amazon Web","year":"2020","unstructured":"Amazon Web Services. Amazon Elastic Compute Cloud, Burstable Performance Instances. https:\/\/docs.aws.amazon.com\/AWSEC2\/ latest\/UserGuide\/burstable-performance-instances.html, 2020."},{"key":"e_1_3_2_1_86_1","volume-title":"Caspian: Cooperative oversubscription. https:\/\/reinvent.awsevents.com\/on-demand\/","author":"Services AmazonWeb","year":"2023","unstructured":"AmazonWeb Services. Caspian: Cooperative oversubscription. https:\/\/reinvent.awsevents.com\/on-demand\/, 2023."},{"key":"e_1_3_2_1_87_1","volume-title":"Sizes for virtual machines in AWS. https:\/\/aws.amazon.com\/ec2\/instance-types\/","author":"Services Amazon Web","year":"2024","unstructured":"Amazon Web Services. Sizes for virtual machines in AWS. https:\/\/aws.amazon.com\/ec2\/instance-types\/, 2024."},{"key":"e_1_3_2_1_88_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2018.2822627"},{"key":"e_1_3_2_1_89_1","doi-asserted-by":"publisher","DOI":"10.1145\/2038916.2038921"},{"key":"e_1_3_2_1_90_1","volume-title":"WWW","author":"Sheng Junjie","year":"2023","unstructured":"Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, XiangfengWang, Bo Jin, JunWang, Si Qin, Saravan Rajmohan, Qingwei Lin, and Dongmei Zhang. Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. In WWW, 2023."},{"key":"e_1_3_2_1_91_1","volume-title":"https:\/\/www.spec.org\/jbb2015\/","author":"JBB.","year":"2024","unstructured":"Spec. SpecJBB. https:\/\/www.spec.org\/jbb2015\/, 2024."},{"key":"e_1_3_2_1_92_1","volume-title":"ISCA","author":"Stojkovic Jovan","year":"2024","unstructured":"Jovan Stojkovic, Pulkit Misra, \u00cd\u00f1igo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, and Ricardo Bianchini. SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud. In ISCA, 2024."},{"key":"e_1_3_2_1_93_1","volume-title":"OSDI","author":"Tang Chunqiang","year":"2020","unstructured":"Chunqiang Tang, Kenny Yu, Kaushik Veeraraghavan, Jonathan Kaldor, Scott Michelson, Thawan Kooburat, Aravind Anbudurai, Matthew Clark, Kabir Gogia, Long Cheng, Ben Christensen, Alex Gartrell, Maxim Khutornenko, Sachin Kulkarni, Marcin Pawlowski, Tuomas Pelkonen, Andre Rodrigues, Rounak Tibrewal, Vaishnavi Venkatesan, and Peter Zhang. Twine: A Unified Cluster Management System for Shared Infrastructure. In OSDI, 2020."},{"key":"e_1_3_2_1_94_1","doi-asserted-by":"publisher","DOI":"10.1145\/3342195.3387517"},{"key":"e_1_3_2_1_95_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2010.5463056"},{"key":"e_1_3_2_1_96_1","doi-asserted-by":"publisher","DOI":"10.1145\/2741948.2741964"},{"key":"e_1_3_2_1_97_1","volume-title":"Handling Datastorage Over-Subscription. https:\/\/docs.vmware.com\/en\/VMware-vSphere\/7.0\/com.vmware.vsphere.storage.doc\/GUID-68C294FC-7612-4829-95B7-9791915C49AC.html","year":"2019","unstructured":"VMware. Handling Datastorage Over-Subscription. https:\/\/docs.vmware.com\/en\/VMware-vSphere\/7.0\/com.vmware.vsphere.storage.doc\/GUID-68C294FC-7612-4829-95B7-9791915C49AC.html, 2019."},{"key":"e_1_3_2_1_98_1","volume-title":"https:\/\/docs.vmware.com\/en\/VMware-vSphere\/7.0\/com.vmware.vsphere.networking.doc\/GUID-CC021803-30EA-444D-BCBE-618E0D836B9F.html","author":"Single Root","year":"2024","unstructured":"VMWare. Single Root I\/O Virtualization (SR-IOV). https:\/\/docs.vmware.com\/en\/VMware-vSphere\/7.0\/com.vmware.vsphere.networking.doc\/GUID-CC021803-30EA-444D-BCBE-618E0D836B9F.html, 2024."},{"key":"e_1_3_2_1_99_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447786.3456225"},{"key":"e_1_3_2_1_100_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503222.3507731"},{"key":"e_1_3_2_1_101_1","volume-title":"VEE","author":"Williams Dan","year":"2011","unstructured":"Dan Williams, Hani Jamjoom, Yew-Huey Liu, and Hakim Weatherspoon. Overdriver: Handling memory overload in an oversubscribed cloud. In VEE, 2011."},{"key":"e_1_3_2_1_102_1","volume-title":"Windows Performance Monitor. https:\/\/learn.microsoft.com\/en-us\/dynamics365\/business-central\/dev-itpro\/administration\/tools-monitor-performance-counters-and-events","year":"2024","unstructured":"Windows. Windows Performance Monitor. https:\/\/learn.microsoft.com\/en-us\/dynamics365\/business-central\/dev-itpro\/administration\/tools-monitor-performance-counters-and-events, 2024."},{"key":"e_1_3_2_1_103_1","volume-title":"ISCA","author":"Wu Qiang","year":"2016","unstructured":"Qiang Wu, Qingyuan Deng, Lakshmi Ganesh, Chang-Hong Hsu, Yun Jin, Sanjeev Kumar, Bin Li, Justin Meza, and Yee Jiun Song. Dynamo: Facebook's data center-wide power management system. In ISCA, 2016."},{"key":"e_1_3_2_1_104_1","volume-title":"https:\/\/xgboost.readthedocs.io\/en\/stable\/","year":"2024","unstructured":"XGBoost. XGBoost. https:\/\/xgboost.readthedocs.io\/en\/stable\/, 2024."},{"key":"e_1_3_2_1_105_1","doi-asserted-by":"publisher","DOI":"10.1145\/3620666.3651355"},{"key":"e_1_3_2_1_106_1","doi-asserted-by":"publisher","DOI":"10.1145\/3127479.3131614"},{"key":"e_1_3_2_1_107_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01199"},{"key":"e_1_3_2_1_108_1","volume-title":"ISCA","author":"Zhang Chaojie","year":"2021","unstructured":"Chaojie Zhang, Alok Gautam Kumbhare, Ioannis Manousakis, Deli Zhang, Pulkit A Misra, Rod Assis, Kyle Woolcock, Nithish Mahalingam, Brijesh Warrier, David Gauthier, et al. Flex: Highavailability datacenters with zero reserved power. In ISCA, 2021."},{"key":"e_1_3_2_1_109_1","volume-title":"SC","author":"Zhang Di","year":"2020","unstructured":"Di Zhang, Dong Dai, Youbiao He, Forrest Sheng Bao, and Bing Xie. RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement Learning. In SC, 2020."},{"key":"e_1_3_2_1_110_1","volume-title":"OSDI","author":"Zhang Yunqi","year":"2016","unstructured":"Yunqi Zhang, George Prekas, Giovanni Matteo Fumarola, Marcus Fontoura, \u00cd\u00f1igo Goiri, and Ricardo Bianchini. History-Based Harvesting of Spare Cycles and Storage in Large-Scale Datacenters. In OSDI, 2016."}],"event":{"name":"ASPLOS '25: 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems","location":"Rotterdam Netherlands","acronym":"ASPLOS '25","sponsor":["SIGPLAN ACM Special Interest Group on Programming Languages","SIGOPS ACM Special Interest Group on Operating Systems","SIGARCH ACM Special Interest Group on Computer Architecture"]},"container-title":["Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3669940.3707226","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3669940.3707226","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T14:47:29Z","timestamp":1755787649000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3669940.3707226"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,30]]},"references-count":110,"alternative-id":["10.1145\/3669940.3707226","10.1145\/3669940"],"URL":"https:\/\/doi.org\/10.1145\/3669940.3707226","relation":{},"subject":[],"published":{"date-parts":[[2025,3,30]]},"assertion":[{"value":"2025-03-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}