L. Capitulino-]-m, J. Lorrillere, S. Sopena, P. Monnet, and . Sens, Automatic memory ballooningKvm-forum- 2013-automatic-ballooning.pdf Puma: Pooling unused memory in virtual machines for i/o intensive applications, Proceedings of the 8th ACM International Systems and Storage Conference, ser. SYSTOR '15, pp.1-1, 2013.

J. Google and . Weiner, Perfkit benchmarker Available: https Mysql docker image Available: https://hub.docker.com Cassandra docker image Available: https://hub.docker.com Filebench : a file system and storage benchmark Available: https Available: https://lwn, 442615.

J. Corbet, Integrating memory control groups Available: https://lwn, p.443241

A. Kopytov, ]. W. Felter, A. Ferreira, R. Rajamony, and J. Rubio, sysbench: Scriptable database and system performance benchmark Available: https://github.com/akopytov/sysbench An updated performance comparison of virtual machines and linux containers, Performance Analysis of Systems and Software (ISPASS), 2015 IEEE International Symposium On. IEEE, pp.171-172, 2015.

L. Tomás and J. Tordsson, Improving cloud infrastructure utilization through overbooking CAC '13, Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference, pp.1-5, 2013.

D. Williams, H. Jamjoom, Y. Liu, and H. Weatherspoon, Overdriver, ACM SIGPLAN Notices, vol.46, issue.7, pp.205-216, 2011.
DOI : 10.1145/2007477.1952709

C. A. Waldspurger, Memory resource management in VMware ESX server, ACM SIGOPS Operating Systems Review, vol.36, issue.SI, pp.181-194, 2002.
DOI : 10.1145/844128.844146

V. Tasoulas, H. Haugerud, and K. Begnum, Bayllocator: A proactive system to predict server utilization and dynamically allocate memory resources using bayesian networks and ballooning [17] Amazon Aws auto scaling Available: http://aws.amazon.com/autoscaling/ [18] OpenStack Heat auto scaling Available: https://wiki.openstack.org/wiki/Heat Docker cloud : A hosted service for docker container management and deployment Available: https Rancher : a complete platform for running docker applications in production, Available: http://rancher.com/rancher, pp.111-121, 2012.

M. Sedaghat, F. Hernandez-rodriguez, and E. Elmroth, A virtual machine re-packing approach to the horizontal vs. vertical elasticity trade-off for cloud autoscaling, Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference on, CAC '13, p.6, 2013.
DOI : 10.1145/2494621.2494628

A. Verma, L. Pedrosa, M. Korupolu, D. Oppenheimer, E. Tune et al., Large-scale cluster management at Google with Borg, Proceedings of the Tenth European Conference on Computer Systems, EuroSys '15, pp.1-1817, 2015.
DOI : 10.1145/2465351.2465388
URL : http://dl.acm.org/ft_gateway.cfm?id=2741964&type=pdf

. Google, Lessons learned from three container-management systems over a decade, 2016.

. Apache, Oversubscription in mesos Available: http://mesos.apache.org/documentation

Z. Zhuang, C. Tran, J. Weng, H. Ramachandra, and B. Sridharan, Taming memory related performance pitfalls in linux Cgroups, 2017 International Conference on Computing, Networking and Communications (ICNC), pp.531-535, 2017.
DOI : 10.1109/ICCNC.2017.7876184

J. Corbet, Memory control group fairness Available: https://lwn