Introduction to Machine Learning, 2014. ,
Automatic scaling of selective sparql joins using the tiramola system, Proceedings of the 4th International Workshop on Semantic Web Information Management, p.1, 2012. ,
Spark sql: relational data processing in spark, Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, ACM, pp.1383-1394, 2015. ,
Applying reinforcement learning towards automating resource allocation and application scalability in the cloud, Concurrency and Computation: Practice and Experience, vol.25, issue.12, pp.1656-1674, 2013. ,
Scalability and performance of web applications in a compute cloud, 2011 IEEE 8th International Conference on, pp.317-323, 2011. ,
Mapreduce: simplified data processing on large clusters, Communications of the ACM, vol.51, issue.1, pp.107-113, 2008. ,
Mapreduce: a flexible data processing tool, Communications of the ACM, vol.53, issue.1, pp.72-77, 2010. ,
Using reinforcement learning for autonomic resource allocation in clouds: towards a fully automated workflow, The Seventh International Conference on Autonomic and Autonomous Systems, pp.67-74, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-01122123
Autoscaling for hadoop clusters, 2016 IEEE International Conference on, pp.109-118, 2016. ,
Exploring alternative approaches to implement an elasticity policy, 2011 IEEE International Conference on, pp.716-723, 2011. ,
Parallel reinforcement learning with linear function approximation, Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, pp.60-74, 2008. ,
Lightweight resource scaling for cloud applications, Cluster, Cloud and Grid Computing (CCGrid), pp.644-651, 2012. ,
Integrated and autonomic cloud resource scaling', Network Operations and Management Symposium (NOMS), pp.1327-1334, 2012. ,
Algorithmics for hard problems: introduction to combinatorial optimization, randomization, approximation, and heuristics, 2013. ,
The improvement of auto-scaling mechanism for distributed database-a case study for mongodb, Network Operations and Management Symposium (APNOMS), 2013 15th Asia-Pacific, pp.1-3, 2013. ,
An integer linear-programming based resource allocation method for SQL-like queries in the cloud, ACM Symposium on Applied Computing (SAC), 2018. ,
Optimizing the utilization of virtual resources in cloud environment', Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), IEEE, pp.82-87, 2010. ,
Schedule optimization for data processing flows on the cloud, Proceedings of the 2011 ACM SIGMOD International Conference on Management of data, pp.289-300, 2011. ,
Tiramola: elastic nosql provisioning through a cloud management platform, Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, ACM, pp.725-728, 2012. ,
Parallel reinforcement learning, The 6th World Conference on Systemics, Cybernetics, and Informatics, 2002. ,
Branch-and-bound methods: a survey, Operations Research, vol.14, issue.4, pp.699-719, 1966. ,
, Time Series Techniques for Economists, 1991.
Cost-aware horizontal scaling of nosql databases using probabilistic model checking, Cluster Computing, vol.20, issue.3, pp.2687-2701, 2017. ,
Elton: a cloud resource scaling-out manager for nosql databases', IEEE 34th International Conference on Data Engineering, pp.1641-1644, 2018. ,
Dependable horizontal scaling based on probabilistic model checking, 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), pp.31-40, 2015. ,
A distributed selflearning approach for elastic provisioning of virtualized cloud resources', Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), IEEE 19th International Symposium on, pp.45-54, 2011. ,
Vconf: a reinforcement learning approach to virtual machines autoconfiguration, Proceedings of the 6th international conference on Autonomic computing, ACM, pp.137-146, 2009. ,
Apache tez: A unifying framework for modeling and building data processing applications, Proceedings of the 2015 ACM SIGMOD international conference on Management of Data, ACM, pp.1357-1369, 2015. ,
Managing a saas application in the cloud using paas policy sets and a strategy-tree, Proceedings of the 7th International Conference on Network and Services Management, International Federation for Information Processing, pp.343-347, 2011. ,
A hybrid reinforcement learning approach to autonomic resource allocation, Autonomic Computing, 2006. ICAC'06. IEEE International Conference on, pp.65-73, 2006. ,
Automated, elastic resource provisioning for nosql clusters using tiramola, Cluster, Cloud and Grid Computing (CCGrid), pp.34-41, 2013. ,
Apache hadoop yarn: yet another resource negotiator, Proceedings of the 4th annual Symposium on Cloud Computing, ACM, p.5, 2013. ,
Learning from Delayed Rewards, 1989. ,
SLA definition for multi-tenant dbms and its impact on query optimization, IEEE Transactions on Knowledge and Data Engineering, vol.30, issue.11, pp.2213-2226, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-02319756
, Note 1 There are some differences between Hive/Tez and SparkSQL on the technical side but the output of query complication is similar