Stable and efficient resource management using deep neural network on cloud computing

B Jeong, S Baek, S Park, J Jeon, YS Jeong - Neurocomputing, 2023 - Elsevier
Resource management autoscaling in a cloud computing service guarantees the high
availability and extensibility of applications and services. Horizontal pod autoscaling (HPA) …

Optimization of composite cloud service processing with virtual machines

S Di, D Kondo, CL Wang - IEEE Transactions on Computers, 2014 - ieeexplore.ieee.org
By leveraging virtual machine (VM) technology, we optimize cloud system performance
based on refined resource allocation, in processing user requests with composite services …

Resource provisioning for cloud applications: a 3-D, provident and flexible approach

MS Aslanpour, SE Dashti, M Ghobaei-Arani… - The Journal of …, 2018 - Springer
The scalability feature of cloud computing attracts application service providers (ASPs) to
use cloud application hosting. In cloud environments, resources can be dynamically …

An autonomic resource provisioning approach for service-based cloud applications: A hybrid approach

M Ghobaei-Arani, S Jabbehdari… - Future Generation …, 2018 - Elsevier
In cloud computing environment, resources can be dynamically provisioned on deman for
cloud services The amount of the resources to be provisioned is determined during runtime …

Dynamic cloud resource allocation considering demand uncertainty

S Mireslami, L Rakai, M Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Cloud computing provisions scalable resources for high performance industrial applications.
Cloud providers usually offer two types of usage plans: reserved and on-demand. Reserved …

DSTS: A hybrid optimal and deep learning for dynamic scalable task scheduling on container cloud environment

S Muniswamy, R Vignesh - Journal of Cloud Computing, 2022 - Springer
Containers have grown into the most dependable and lightweight virtualization platform for
delivering cloud services, offering flexible sorting, portability, and scalability. In cloud …

Deep reinforcement learning for application scheduling in resource-constrained, multi-tenant serverless computing environments

A Mampage, S Karunasekera, R Buyya - Future Generation Computer …, 2023 - Elsevier
Serverless computing has sparked a massive interest in both the cloud service providers
and their clientele in recent years. This model entails the shift of the entire matter of resource …

ADRL: A hybrid anomaly-aware deep reinforcement learning-based resource scaling in clouds

S Kardani-Moghaddam, R Buyya… - … on Parallel and …, 2020 - ieeexplore.ieee.org
The virtualization concept and elasticity feature of cloud computing enable users to request
resources on-demand and in the pay-as-you-go model. However, the high flexibility of the …

Predictive auto-scaling of multi-tier applications using performance varying cloud resources

W Iqbal, A Erradi, M Abdullah… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The performance of the same type of cloud resources, such as virtual machines (VMs),
varies over time mainly due to hardware heterogeneity, resource contention among co …

Dynamic task allocation and service migration in edge-cloud iot system based on deep reinforcement learning

Y Chen, Y Sun, C Wang, T Taleb - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Edge computing (EC) extends the ability of cloud computing to the network edge to support
diverse resource-sensitive and performance-sensitive IoT applications. However, due to the …