A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
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- 8 August 2006
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
No abstract availableThis publication has 9 references indexed in Scilit:
- A Reinforcement Learning Framework for Dynamic Resource Allocation: First Results.Published by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Resource Allocation for Autonomic Data Centers using Analytic Performance ModelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- An analytical model for multi-tier internet services and its applicationsACM SIGMETRICS Performance Evaluation Review, 2005
- Assessing the robustness of self-managing computer systems under highly variable workloadsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Utility functions in autonomic systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Dynamic resource allocation for shared data centers using online measurementsPublished by Association for Computing Machinery (ACM) ,2003
- Learning to trade via direct reinforcementIEEE Transactions on Neural Networks, 2001
- Temporal difference learning and TD-GammonCommunications of the ACM, 1995
- Complexity Regularization with Application to Artificial Neural NetworksPublished by Springer Nature ,1991