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(Accessed on 09\/06\/2020)."},{"key":"e_1_3_2_2_10_1","unstructured":"Containerdefinition - amazon elastic container service. https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/APIReference\/API_ContainerDefinition.html. (Accessed on 01\/01\/2021).  Containerdefinition - amazon elastic container service. https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/APIReference\/API_ContainerDefinition.html. (Accessed on 01\/01\/2021)."},{"key":"e_1_3_2_2_11_1","unstructured":"Cpu considerations for java applications running in docker and kubernetes | by christopher batey | medium. https:\/\/link.medium.com\/H3WcqAfND9. (Accessed on 09\/15\/2020).  Cpu considerations for java applications running in docker and kubernetes | by christopher batey | medium. https:\/\/link.medium.com\/H3WcqAfND9. (Accessed on 09\/15\/2020)."},{"key":"e_1_3_2_2_12_1","unstructured":"Cpu scheduler imbalance with cgroups | josef bacik's blog. https:\/\/josefbacik.github.io\/kernel\/scheduler\/cgroup\/2017\/07\/24\/scheduler-imbalance.html. (Accessed on 09\/15\/2020).  Cpu scheduler imbalance with cgroups | josef bacik's blog. https:\/\/josefbacik.github.io\/kernel\/scheduler\/cgroup\/2017\/07\/24\/scheduler-imbalance.html. (Accessed on 09\/15\/2020)."},{"key":"e_1_3_2_2_13_1","unstructured":"Cpu throttling - unthrottled: Fixing cpu limits in the cloud. https:\/\/engineering.indeedblog.com\/blog\/2019\/12\/unthrottled-fixing-cpu-limits-in-the-cloud\/. (Accessed on 09\/15\/2020).  Cpu throttling - unthrottled: Fixing cpu limits in the cloud. https:\/\/engineering.indeedblog.com\/blog\/2019\/12\/unthrottled-fixing-cpu-limits-in-the-cloud\/. (Accessed on 09\/15\/2020)."},{"key":"e_1_3_2_2_14_1","unstructured":"Horizontal scaling - aws well-architected framework. https:\/\/wa.aws.amazon.com\/wat.concept.horizontal-scaling.en.html. (Accessed on 09\/15\/2020).  Horizontal scaling - aws well-architected framework. https:\/\/wa.aws.amazon.com\/wat.concept.horizontal-scaling.en.html. (Accessed on 09\/15\/2020)."},{"key":"e_1_3_2_2_15_1","unstructured":"How to optimize i\/o intensive containers on kubernetes - neuvector. https:\/\/neuvector.com\/container-security\/optimize-i-o-intensive-containers\/ (Accessed on 09\/15\/2020).  How to optimize i\/o intensive containers on kubernetes - neuvector. https:\/\/neuvector.com\/container-security\/optimize-i-o-intensive-containers\/ (Accessed on 09\/15\/2020)."},{"key":"e_1_3_2_2_16_1","unstructured":"Kubernetes - google kubernetes engine (gke) | google cloud. https:\/\/cloud.google.com\/kubernetes-engine. (Accessed on 05\/29\/2020).  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(Accessed on 06\/03\/2020).  memcached - a distributed memory object caching system. https:\/\/memcached.org\/. (Accessed on 06\/03\/2020)."},{"key":"e_1_3_2_2_20_1","unstructured":"[ospm-summit-17] parameterizing cfs load balancing: nr_running\/util\/load-youtube. https:\/\/www.youtube.com\/watch?v=JyA5MpVpAAM&ab_channel=RetisLab. (Accessed on 09\/15\/2020).  [ospm-summit-17] parameterizing cfs load balancing: nr_running\/util\/load-youtube. https:\/\/www.youtube.com\/watch?v=JyA5MpVpAAM&ab_channel=RetisLab. (Accessed on 09\/15\/2020)."},{"key":"e_1_3_2_2_21_1","unstructured":"[ospm-summit-17] tracepoints for pelt - youtube. https:\/\/www.youtube.com\/watch?v=tyoFqxviXOY&ab_channel=RetisLab. (Accessed on 09\/15\/2020).  [ospm-summit-17] tracepoints for pelt - youtube. https:\/\/www.youtube.com\/watch?v=tyoFqxviXOY&ab_channel=RetisLab. (Accessed on 09\/15\/2020)."},{"key":"e_1_3_2_2_22_1","unstructured":"Per-entity load tracking [lwn.net]. https:\/\/lwn.net\/Articles\/531853\/. (Accessed on 09\/06\/2020).  Per-entity load tracking [lwn.net]. https:\/\/lwn.net\/Articles\/531853\/. (Accessed on 09\/06\/2020)."},{"key":"e_1_3_2_2_23_1","unstructured":"Pod overview - kubernetes. https:\/\/kubernetes.io\/docs\/concepts\/workloads\/pods\/pod-overview\/. (Accessed on 05\/29\/2020).  Pod overview - kubernetes. https:\/\/kubernetes.io\/docs\/concepts\/workloads\/pods\/pod-overview\/. (Accessed on 05\/29\/2020)."},{"key":"e_1_3_2_2_24_1","unstructured":"Production-grade container orchestration - kubernetes. https:\/\/kubernetes.io\/. (Accessed on 05\/29\/2020).  Production-grade container orchestration - kubernetes. https:\/\/kubernetes.io\/. (Accessed on 05\/29\/2020)."},{"key":"e_1_3_2_2_25_1","unstructured":"Reserve compute resources for system daemons | kubernetes. https:\/\/kubernetes.io\/docs\/tasks\/administer-cluster\/reserve-compute-resources\/. (Accessed on 08\/27\/2020).  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(Accessed on 01\/11\/2021)."},{"key":"e_1_3_2_2_33_1","first-page":"85","volume-title":"The battle of the schedulers: Freebsd {ULE} vs. linux {CFS}. In 2018 {USENIX} Annual Technical Conference ({USENIX}{ATC} 18)","author":"Bouron J.","year":"2018","unstructured":"Bouron , J. , Chevalley , S. , Lepers , B. , Zwaenepoel , W. , Gouicem , R. , Lawall , J. , Muller , G. , and Sopena , J . The battle of the schedulers: Freebsd {ULE} vs. linux {CFS}. In 2018 {USENIX} Annual Technical Conference ({USENIX}{ATC} 18) ( 2018 ), pp. 85 -- 96 . Bouron, J., Chevalley, S., Lepers, B., Zwaenepoel, W., Gouicem, R., Lawall, J., Muller, G., and Sopena, J. The battle of the schedulers: Freebsd {ULE} vs. linux {CFS}. In 2018 {USENIX} Annual Technical Conference ({USENIX}{ATC} 18) (2018), pp. 85--96."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622518"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3265723.3265742"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2741948.2741967"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/1807128.1807152"},{"key":"e_1_3_2_2_38_1","unstructured":"Dean J. and Ghemawat S. Mapreduce: Simplified data processing on large clusters.  Dean J. and Ghemawat S. 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