Joint offloading and resource allocation for hybrid cloud and edge computing in SAGINs: A decision assisted hybrid action space deep reinforcement learning …

C Huang, G Chen, P Xiao, Y Xiao, Z Han… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
In recent years, the amalgamation of satellite communications and aerial platforms into
space-air-ground integrated network (SAGINs) has emerged as an indispensable area of …

Unsupervised learning of dynamic resource provisioning policies for cloud-hosted multitier web applications

W Iqbal, MN Dailey, D Carrera - IEEE Systems Journal, 2015 - ieeexplore.ieee.org
Dynamic resource provisioning for Web applications allows for low operational costs while
meeting service-level objectives (SLOs). However, the complexity of multitier Web …

Learning resource allocation and pricing for cloud profit maximization

B Du, C Wu, Z Huang - Proceedings of the AAAI conference on artificial …, 2019 - aaai.org
Cloud computing has been widely adopted to support various computation services. A
fundamental problem faced by cloud providers is how to efficiently allocate resources upon …

[PDF][PDF] Constraint programming based virtual cloud resources allocation model

L Zhang, Y Zhuang, W Zhu - International Journal of Hybrid Information …, 2013 - Citeseer
Cloud computing is growing in popularity among computing paradigms, and many corporate
data centers are in the process of adopting a cloud computing architecture where resources …

A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

A Hameed, A Khoshkbarforoushha, R Ranjan… - Computing, 2016 - Springer
In a cloud computing paradigm, energy efficient allocation of different virtualized ICT
resources (servers, storage disks, and networks, and the like) is a complex problem due to …

Resource usage cost optimization in cloud computing using machine learning

P Osypanka, P Nawrocki - IEEE Transactions on Cloud …, 2020 - ieeexplore.ieee.org
Cloud computing is gaining popularity among small and medium-sized enterprises. The cost
of cloud resources plays a significant role for these companies and this is why cloud …

Dynamic resource demand prediction and allocation in multi‐tenant service clouds

M Verma, GR Gangadharan… - Concurrency and …, 2016 - Wiley Online Library
Cloud computing is emerging as an increasingly popular computing paradigm, allowing
dynamic scaling of resources available to users as needed. This requires a highly accurate …

DeepEdge: A new QoE-based resource allocation framework using deep reinforcement learning for future heterogeneous edge-IoT applications

I AlQerm, J Pan - IEEE Transactions on Network and Service …, 2021 - ieeexplore.ieee.org
Edge computing is emerging to empower the future of Internet of Things (IoT) applications.
However, due to heterogeneity of applications, it is a significant challenge for the edge cloud …

Intelligent cloud resource management with deep reinforcement learning

Y Zhang, J Yao, H Guan - IEEE Cloud Computing, 2017 - ieeexplore.ieee.org
The cloud provides low-cost and flexible IT resources (hardware and software) across the
Internet. As more cloud providers seek to drive greater business outcomes and the …

[HTML][HTML] A hybrid cloud load balancing and host utilization prediction method using deep learning and optimization techniques

S Simaiya, UK Lilhore, YK Sharma, KBVB Rao… - Scientific Reports, 2024 - nature.com
Virtual machine (VM) integration methods have effectively proven an optimized load
balancing in cloud data centers. The main challenge with VM integration methods is the …