Proceedings of the second USENIX symposium on Operating systems design and implementation - OSDI '96, 12th USENIX Symposium on Operating Systems Design and Implementation, pp.755-770, 1996. ,
Using Quantile Regression for Reclaiming Unused Cloud Resources While Achieving SLA, 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), pp.89-98, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01898438
Scavenger, Proceedings of the ACM Symposium on Cloud Computing, pp.272-285, 2019. ,
ElaX: Provisioning Resource Elastically for Containerized Online Cloud Services, 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), pp.1987-1994, 2019. ,
Above the clouds: A berkeley view of cloud computing, Dept. Electrical Eng. and Comput. Sciences, p.2009, 2009. ,
CPU load prediction for cloud environment based on a dynamic ensemble model, Software: Practice and Experience, vol.44, issue.7, pp.793-804, 2013. ,
Pado, Proceedings of the Twelfth European Conference on Computer Systems, pp.575-588, 2017. ,
Cuckoo: Opportunistic MapReduce on Ephemeral and Heterogeneous Cloud Resources, 2019 IEEE 12th International Conference on Cloud Computing (CLOUD), pp.396-403, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02179453
Salamander: a Holistic Scheduling of MapReduce Jobs on Ephemeral Cloud Resources, 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), pp.320-329, 2020. ,
URL : https://hal.archives-ouvertes.fr/hal-02497029
Reinforcement Learning: A Survey, Journal of Artificial Intelligence Research, vol.4, pp.237-285, 1996. ,
Workflow Scheduling with Amazon EC2 Spot Instances: Building Reliable Compute Environments, International Journal of Machine Learning and Computing, vol.10, issue.1, pp.140-147, 2020. ,
, Cloud computing ? Service level agreement (SLA) framework, pp.2020-2026
, Amazon Elastic Compute Cloud and Amazon Elastic Block Store, pp.21-45, 2019.
TR-Spark, Proceedings of the Seventh ACM Symposium on Cloud Computing, pp.484-496, 2016. ,
A Markovian Decision Process, Indiana University Mathematics Journal, vol.6, issue.4, pp.679-684, 1957. ,
Deep Reinforcement Learning: A Brief Survey, IEEE Signal Processing Magazine, vol.34, issue.6, pp.26-38, 2017. ,
Deep reinforcement learning in large discrete action spaces, p.1512, 2015. ,
Continuous control with deep reinforcement learning, 2015. ,
Deep reinforcement learning that matters, Thirty-Second AAAI Conference on Artificial Intelligence, 2018. ,
The Brownian Movement and Stochastic Equations, The Annals of Mathematics, vol.43, issue.2, p.351, 1942. ,
Keras ,
Keras ,
Tensorflow: Largescale machine learning on heterogeneous distributed systems, 2016. ,
, Deep learning, vol.1, 2016.
, Keras, pp.2020-2026
Asia Polyurethane Mfg Pte Ltd, Leading Entrepreneurs and How They Succeed, pp.7-13, 2016. ,
The Hadoop Distributed File System, 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), pp.1-10, 2010. ,
Rhythm, Proceedings of the Fifteenth European Conference on Computer Systems, pp.1-17, 2020. ,
CLITE: Efficient and QoS-Aware Co-Location of Multiple Latency-Critical Jobs for Warehouse Scale Computers, 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA), pp.193-206, 2020. ,
Survey on Fast and Intelligent Deep Web Crawler Using Machine Learning Approach, International Journal of Science and Research (IJSR), vol.4, issue.11, pp.2250-2253, 2015. ,