Self-learning cloud controllers: Fuzzy q-learning for knowledge evolution

P Jamshidi, AM Sharifloo, C Pahl… - … on Cloud and …, 2015 - ieeexplore.ieee.org
Auto-scaling features enable cloud applications to maintain enough resources to satisfy
demand spikes, reduce costs and keep performance in check. Most auto-scaling strategies …

[PDF][PDF] Self-Learning Cloud Controllers: Fuzzy Q-Learning for Knowledge Evolution

P Jamshidi, AM Sharifloo, C Pahl, A Metzger, G Estrada - Citeseer
Auto-scaling features enable cloud applications to maintain enough resources to satisfy
demand spikes, reduce costs and keep performance in check. Most auto-scaling strategies …

[PDF][PDF] Self-Learning Cloud Controllers: Fuzzy Q-Learning for Knowledge Evolution

P Jamshidi, AM Sharifloo, C Pahl, A Metzger, G Estrada - scholar.archive.org
Auto-scaling features enable cloud applications to maintain enough resources to satisfy
demand spikes, reduce costs and keep performance in check. Most auto-scaling strategies …

Self-Learning Cloud Controllers: Fuzzy Q-Learning for Knowledge Evolution

P Jamshidi, AM Sharifloo, C Pahl, A Metzger… - … Conference on Cloud and … - infona.pl
Auto-scaling features enable cloud applications to maintain enough resources to satisfy
demand spikes, reduce costs and keep performance in check. Most auto-scaling strategies …

Self-learning cloud controllers: fuzzy Q-learning for knowledge evolution

P Jamshidi, A Sharifloo, C Pahl, A Metzger, G Estrada - 2015 - doras.dcu.ie
Auto-scaling features enable cloud applications to maintain enough resources to satisfy
demand spikes, reduce costs and keep performance in check. Most auto-scaling strategies …

[PDF][PDF] Self-Learning Cloud Controllers: Fuzzy Q-Learning for Knowledge Evolution

P Jamshidi, AM Sharifloo, C Pahl, A Metzger, G Estrada - bia.unibz.it
Auto-scaling features enable cloud applications to maintain enough resources to satisfy
demand spikes, reduce costs and keep performance in check. Most auto-scaling strategies …

[PDF][PDF] Self-Learning Cloud Controllers: Fuzzy Q-Learning for Knowledge Evolution

P Jamshidi, AM Sharifloo, C Pahl, A Metzger, G Estrada - core.ac.uk
Auto-scaling features enable cloud applications to maintain enough resources to satisfy
demand spikes, reduce costs and keep performance in check. Most auto-scaling strategies …

[PDF][PDF] Self-Learning Cloud Controllers: Fuzzy Q-Learning for Knowledge Evolution

P Jamshidi, AM Sharifloo, C Pahl, A Metzger, G Estrada - lsd1.ls.fi.upm.es
Auto-scaling features enable cloud applications to maintain enough resources to satisfy
demand spikes, reduce costs and keep performance in check. Most auto-scaling strategies …

Self-Learning Cloud Controllers: Fuzzy Q-Learning for Knowledge Evolution

P Jamshidi, AM Sharifloo, C Pahl, A Metzger… - … Conference on Cloud …, 2015 - computer.org
Auto-scaling features enable cloud applications to maintain enough resources to satisfy
demand spikes, reduce costs and keep performance in check. Most auto-scaling strategies …

Self-Learning Cloud Controllers: Fuzzy Q-Learning for Knowledge Evolution

P Jamshidi, A Sharifloo, C Pahl, A Metzger… - arXiv e …, 2015 - ui.adsabs.harvard.edu
Cloud controllers aim at responding to application demands by automatically scaling the
compute resources at runtime to meet performance guarantees and minimize resource …