{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T16:57:42Z","timestamp":1792688262680,"version":"4.5.0"},"reference-count":64,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1109\/cluster.2019.8891040","type":"proceedings-article","created":{"date-parts":[[2019,11,13]],"date-time":"2019-11-13T18:00:53Z","timestamp":1573668053000},"page":"1-13","source":"Crossref","is-referenced-by-count":29,"title":["Kube-Knots: Resource Harvesting through Dynamic Container Orchestration in GPU-based Datacenters"],"prefix":"10.1109","author":[{"given":"Prashanth","family":"Thinakaran","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jashwant Raj","family":"Gunasekaran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bikash","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mahmut Taylan","family":"Kandemir","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chita R.","family":"Das","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","year":"0","journal-title":"Mesosphere description"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.262"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3307650.3322212"},{"key":"ref32","year":"0","journal-title":"Auto-Regressive Integrated Moving Average"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2016.73"},{"key":"ref30","first-page":"17","article-title":"Timegraph: Gpu scheduling for real-time multi-tasking environments","author":"kato","year":"2011","journal-title":"Proc USENIX ATC"},{"key":"ref37","year":"0","journal-title":"Alibaba Cluster Trace Data description"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2818950.2818979"},{"key":"ref35","first-page":"28","article-title":"Server workload analysis for power minimization using consolidation","author":"verma","year":"2009","journal-title":"Proceedings of the 2009 Conference on USENIX Annual Technical Conference USENIX"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2967938.2967940"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/3068281"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/2493123.2462911"},{"key":"ref61","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1145\/2694344.2694346","article-title":"Chimera: Collaborative preemption for multitasking on a shared gpu","author":"park","year":"2015","journal-title":"Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems ser ASPLOS &#x2019;15"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2014.6853208"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3037697.3037700"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2014.6742976"},{"key":"ref27","article-title":"Multi-tenant gpu clusters for deep learning workloads: Analysis and implications","author":"jeon","year":"2018","journal-title":"Tech Rep"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2155620.2155650"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2749469.2749472"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2016.7783710"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3323090"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3267809.3275466"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.49"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3190508.3190517"},{"key":"ref23","first-page":"595","article-title":"Gandiva: introspective cluster scheduling for deep learning","author":"xiao","year":"2018","journal-title":"13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3154842.3154845"},{"key":"ref25","article-title":"Poseidon: An efficient communication architecture for distributed deep learning on gpu clusters","author":"zhang","year":"2017"},{"key":"ref50","first-page":"485","article-title":"Tiresias: A gpu cluster manager for distributed deep learning","author":"gu","year":"2019","journal-title":"16th USENIX Symposium on Networked Systems Design and Implementation (NSDI&#x2019;19)"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/2408776.2408794"},{"key":"ref59","first-page":"3","article-title":"Pegasus: Coordinated scheduling for virtualized accelerator-based systems","author":"gupta","year":"2011","journal-title":"Proceedings of the 2011 USENIX Conference on USENIX Annual Technical Conference USENIXATC'11"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/3127479.3127490"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3126908.3126933"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTER.2017.17"},{"key":"ref55","article-title":"Heterogeneous gpu reallocation","author":"gleeson","year":"2017","journal-title":"9th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 17)"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/2287076.2287091"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/2980024.2872368"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/2485922.2485974"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IISWC.2017.8167776"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2018.00075"},{"key":"ref40","year":"0","journal-title":"Docker Swarm description"},{"key":"ref12","year":"0","journal-title":"Amazon EC2 elastic GPUs"},{"key":"ref13","year":"0","journal-title":"Microsoft VM with GPU"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3302424.3303958"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2019.00079"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2890784"},{"key":"ref17","year":"0","journal-title":"Mesos Scheduler GPU support"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISPASS.2018.00016"},{"key":"ref19","article-title":"Enabling fairness in cloud computing infrastructures","author":"kannan","year":"2019","journal-title":"Ph D Dissertation"},{"key":"ref4","year":"0","journal-title":"Cisco&#x2019;s Global Cloud Index"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD.2019.00043"},{"key":"ref6","author":"jeffers","year":"2015","journal-title":"High Performance Parallelism Pearls Volume Two Multicore and Many-core Programming Approaches"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISVLSI.2012.80"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISVLSI.2013.6654659"},{"key":"ref49","year":"0","journal-title":"Tiresias discrete-time trace-driven simulator"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISVLSI.2012.76"},{"key":"ref46","year":"0","journal-title":"InfluxDB time series"},{"key":"ref45","year":"0","journal-title":"Python Bindings for the NVIDIA Management Library"},{"key":"ref48","year":"0","journal-title":"Docker TensorFlow \/ HPC experiments used in evaluation of kube-knots"},{"key":"ref47","year":"0","journal-title":"Nvidia k8s-device-plugin for Kubernetes"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/IISWC.2009.5306797"},{"key":"ref41","year":"0","journal-title":"GPU-Based Deep Learning Inference"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/2391229.2391236"},{"key":"ref43","year":"0","journal-title":"Memory Growth in TensorFlow"}],"event":{"name":"2019 IEEE International Conference on Cluster Computing (CLUSTER)","location":"Albuquerque, NM, USA","start":{"date-parts":[[2019,9,23]]},"end":{"date-parts":[[2019,9,26]]}},"container-title":["2019 IEEE International Conference on Cluster Computing (CLUSTER)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8884608\/8890988\/08891040.pdf?arnumber=8891040","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:55:12Z","timestamp":1658094912000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8891040\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":64,"URL":"https:\/\/doi.org\/10.1109\/cluster.2019.8891040","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}