{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T15:56:34Z","timestamp":1763740594835,"version":"3.45.0"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","funder":[{"name":"NextGenerationEU","award":["13IPC007"],"award-info":[{"award-number":["13IPC007"]}]},{"name":"German Federal Ministry for Economic Affairs and Energy","award":[""],"award-info":[{"award-number":[""]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,28]]},"DOI":"10.1145\/3730567.3764480","type":"proceedings-article","created":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T15:22:38Z","timestamp":1763738558000},"page":"746-760","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The SAP Cloud Infrastructure Dataset: A Reality Check of Scheduling and Placement of VMs in Cloud Computing"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6309-2696","authenticated-orcid":false,"given":"Arno","family":"Uhlig","sequence":"first","affiliation":[{"name":"TU Dresden, Dresden, Germany and SAP SE, Dresden, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0900-2158","authenticated-orcid":false,"given":"Iris","family":"Braun","sequence":"additional","affiliation":[{"name":"TU Dresden, Dresden, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3825-2807","authenticated-orcid":false,"given":"Matthias","family":"W\u00e4hlisch","sequence":"additional","affiliation":[{"name":"TU Dresden, Dresden, Germany"}]}],"member":"320","published-online":{"date-parts":[[2025,11,21]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Alibaba Cluster Trace Team. 2018. Alibaba Cluster Trace Program: Cluster-Trace-v2018. https:\/\/github.com\/alibaba\/clusterdata\/blob\/master\/cluster-trace-v2018\/trace_2018.md. Accessed: 2025-05-15."},{"key":"e_1_3_2_1_2_1","unstructured":"Alibaba Group. 2018. Alibaba Cluster Trace Program. https:\/\/github.com\/alibaba\/clusterdata. Accessed: 13-11-2024."},{"key":"e_1_3_2_1_3_1","volume-title":"Chuck Cranor, Gregory R. Ganger, Elisabeth Moore, and Nathan DeBardeleben.","author":"Amvrosiadis George","year":"2018","unstructured":"George Amvrosiadis, Michael Kuchnik, Jun Woo Park, Chuck Cranor, Gregory R. Ganger, Elisabeth Moore, and Nathan DeBardeleben. 2018. The Atlas Cluster Trace Repository. USENIX ;login:, Vol. 43, 4 (Winter 2018), 7-13. https:\/\/www.usenix.org\/publications\/login\/winter2018\/amvrosiadis Accessed: 2025-05-15."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00607-021-01045-2"},{"key":"e_1_3_2_1_5_1","first-page":"46","article-title":"Approximation Algorithms for Bin Packing: A Survey. In Approximation Algorithms for NP-Hard Problems, Dorit S. Hochbaum (Ed.). PWS Publishing Co., USA","volume":"2","author":"Coffman E. G.","year":"1996","unstructured":"E. G. Coffman, M. R. Garey, and D. S. Johnson. 1996. Approximation Algorithms for Bin Packing: A Survey. In Approximation Algorithms for NP-Hard Problems, Dorit S. Hochbaum (Ed.). PWS Publishing Co., USA, Chapter 2, 46-93.","journal-title":"Chapter"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2644865.2541941"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics7120389"},{"key":"e_1_3_2_1_8_1","unstructured":"OpenStack Foundation. 2023. OpenStack global footprint exceeds 45 million compute cores as users tackle common obstacles. https:\/\/www.openstack.org\/blog\/openstack-global-footprint-exceeds-45-million-compute-cores-as-users-tackle-common-obstacles\/."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13677-017-0081-4"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3326285.3329074"},{"key":"e_1_3_2_1_11_1","unstructured":"Ninad Hogade Sudeep Pasricha and Howard Jay Siegel. 2021. Energy and Network Aware Workload Management for Geographically Distributed Data Centers. Technical Report arXiv:2106.00066. Open Archive: arXiv.org. https:\/\/arxiv.org\/abs\/2106.00066"},{"key":"e_1_3_2_1_12_1","unstructured":"Lui Huan. 2012. Host server cpu utilization in amazon ec2 cloud. http:\/\/huanliu.wordpress.com\/2012\/02\/17\/host-server-cpu-utilization-in-amazon-ec2-cloud\/. Accessed: 2024-10-01."},{"key":"e_1_3_2_1_13_1","unstructured":"Myeongjae Jeon Shivaram Venkataraman Amar Phanishayee Junjie Qian Wencong Xiao and Fan Yang. 2019. Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads. arXiv:1901.05758 [cs.DC] https:\/\/arxiv.org\/abs\/1901.05758"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.3390\/pr12030519"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCI54379.2022.9740780"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TOCS50858.2020.9339736"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2016.04.016"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.3390\/app12042160"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Peter Mell and Timothy Grance. 2011. The NIST Definition of Cloud Computing. Technical Report Special Publication 800-145. National Institute of Standards and Technology. https:\/\/doi.org\/10.6028\/NIST.SP.800-145","DOI":"10.6028\/NIST.SP.800-145"},{"key":"e_1_3_2_1_20_1","unstructured":"OpenStack Foundation. 2024a. Nova System Architecture. https:\/\/docs.openstack.org\/nova\/latest\/admin\/architecture.html."},{"key":"e_1_3_2_1_21_1","unstructured":"OpenStack Foundation. 2024b. OpenStack software. https:\/\/www.openstack.org\/software\/."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/361011.361073"},{"key":"e_1_3_2_1_23_1","unstructured":"Prometheus Authors. 2024a. MySQL Server Exporter. https:\/\/github.com\/prometheus\/mysqld_exporter. https:\/\/github.com\/prometheus\/mysqld_exporter"},{"key":"e_1_3_2_1_24_1","unstructured":"Prometheus Authors. 2024b. Prometheus exporters and integrations. https:\/\/prometheus.io\/docs\/instrumenting\/exporters. https:\/\/prometheus.io\/docs\/instrumenting\/exporters"},{"key":"e_1_3_2_1_25_1","unstructured":"Prometheus Authors. 2024c. Prometheus overview. https:\/\/prometheus.io\/docs\/introduction\/overview\/. https:\/\/prometheus.io\/docs\/introduction\/overview\/"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.3389\/fcomp.2024.1288552"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3669940.3707226"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2391229.2391236"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/hpec49654.2021.9622850"},{"key":"e_1_3_2_1_30_1","unstructured":"SAP SE. 2024. Prometheus vROPs exporter. https:\/\/github.com\/sapcc\/vrops-exporter. https:\/\/github.com\/sapcc\/vrops-exporter"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2021.3059096"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-022-04597-y"},{"key":"e_1_3_2_1_33_1","unstructured":"Thanos Authors. 2024. Thanos getting started. https:\/\/thanos.io\/tip\/thanos\/getting-started.md\/"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2014.32"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","unstructured":"Arno Uhlig Iris Braun and Matthias W\u00e4hlisch. 2025. The SAP Cloud Infrastructure Dataset: A Reality Check of Scheduling and Placement of VMs in Cloud Computing. https:\/\/doi.org\/10.5281\/zenodo.17141306","DOI":"10.5281\/zenodo.17141306"},{"key":"e_1_3_2_1_36_1","unstructured":"VMware Inc. 2022. Performance Best Practices for VMware vSphere 8.0. https:\/\/www.vmware.com\/docs\/vsphere-esxi-vcenter-server-80-performance-best-practices Accessed: 2025-09-10."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3545008.3545026"},{"key":"e_1_3_2_1_38_1","first-page":"995","volume-title":"Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent. In 2023 USENIX Annual Technical Conference (USENIX ATC 23)","author":"Weng Qizhen","year":"2023","unstructured":"Qizhen Weng, Lingyun Yang, Yinghao Yu, Wei Wang, Xiaochuan Tang, Guodong Yang, and Liping Zhang. 2023. Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent. In 2023 USENIX Annual Technical Conference (USENIX ATC 23). USENIX Association, Boston, MA, 995-1008. https:\/\/www.usenix.org\/conference\/atc23\/presentation\/weng"},{"key":"e_1_3_2_1_39_1","unstructured":"Wilkes John. 2020. Google cluster-usage traces v3. https:\/\/drive.google.com\/file\/d\/10r6cnJ5cJ89fPWCgj7j4LtLBqYN9RiI9\/view?pli=1. https:\/\/drive.google.com\/file\/d\/10r6cnJ5cJ89fPWCgj7j4LtLBqYN9RiI9\/view?pli=1"}],"event":{"name":"IMC '25:ACM Internet Measurement Conference","location":"Madison WI USA","sponsor":["SIGMETRICS ACM Special Interest Group on Measurement and Evaluation","SIGCOMM ACM Special Interest Group on Data Communication"]},"container-title":["Proceedings of the 2025 ACM Internet Measurement Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3730567.3764480","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T15:29:59Z","timestamp":1763738999000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3730567.3764480"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,28]]},"references-count":39,"alternative-id":["10.1145\/3730567.3764480","10.1145\/3730567"],"URL":"https:\/\/doi.org\/10.1145\/3730567.3764480","relation":{},"subject":[],"published":{"date-parts":[[2025,10,28]]},"assertion":[{"value":"2025-11-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}