Reinforcement learning-based application autoscaling in the cloud: A survey
Reinforcement Learning (RL) has demonstrated a great potential for automatically solving
decision-making problems in complex, uncertain environments. RL proposes a …
decision-making problems in complex, uncertain environments. RL proposes a …
BLMDP: A new bi-level Markov decision process approach to joint bidding andtask-scheduling in cloud spot market
M Naghdehforoushha, MDT Fooladi… - Turkish Journal of …, 2022 - journals.tubitak.gov.tr
In the cloud computing market (CCM), computing services are traded between cloud
providers and consumers in the form of the computing capacity of virtual machines (VMs) …
providers and consumers in the form of the computing capacity of virtual machines (VMs) …
Learning to make auto-scaling decisions with heterogeneous spot and on-demand instances via reinforcement learning
L Lin, L Pan, S Liu - Information Sciences, 2022 - Elsevier
Designing auto-scaling frameworks using spot and on-demand instances while considering
their heterogeneity, can help Software-as-a-Service (SaaS) providers provide services with …
their heterogeneity, can help Software-as-a-Service (SaaS) providers provide services with …
Learning budget assignment policies for autoscaling scientific workflows in the cloud
Autoscalers exploit cloud-computing elasticity to cope with the dynamic computational
demands of scientific workflows. Autoscalers constantly acquire or terminate virtual …
demands of scientific workflows. Autoscalers constantly acquire or terminate virtual …
[PDF][PDF] Reinforcement learning-based autoscaling of workflows in the cloud: A survey
Reinforcement Learning (RL) has demonstrated a great potential for automatically solving
decision making problems in complex uncertain environments. Basically, RL proposes a …
decision making problems in complex uncertain environments. Basically, RL proposes a …
Autoescalado basado en aprendizaje profundo por refuerzo de workflows científicos en la nube
Los workflows científicos representan una importante abstracción para el modelado y la
ejecución de experimentos de gran envergadura en múltiples disciplinas. El paradigma de …
ejecución de experimentos de gran envergadura en múltiples disciplinas. El paradigma de …