Embedding individualized machine learning prediction models for energy efficient VM consolidation within Cloud data centers
SM Moghaddam, M O'Sullivan, C Walker… - Future Generation …, 2020 - Elsevier
The fast growth in demand for utility-based IT services has lead to the formation of large
scale Cloud data centers. The electrical energy consumption of these data centers results in …
scale Cloud data centers. The electrical energy consumption of these data centers results in …
Workload forecasting and energy state estimation in cloud data centres: ML-centric approach
Resource management in data centres continues to be a critical problem due to increased
infrastructure complexity and dynamic workload conditions. Workload and energy …
infrastructure complexity and dynamic workload conditions. Workload and energy …
A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data center
This work proposes an energy-efficient resource provisioning and allocation framework to
meet dynamic demands of the future applications. The frequent variations in a cloud user's …
meet dynamic demands of the future applications. The frequent variations in a cloud user's …
A learning automata-based ensemble resource usage prediction algorithm for cloud computing environment
Infrastructure as a service (IaaS) providers are interested in increasing their profit by
gathering more and more customers besides providing more efficiency in cloud resource …
gathering more and more customers besides providing more efficiency in cloud resource …
Dynamic resource allocation for virtual machine migration optimization using machine learning
The paragraph is grammatically correct and logically coherent. It discusses the importance
of mobile terminal cloud computing migration technology in meeting the demands of …
of mobile terminal cloud computing migration technology in meeting the demands of …
Resource management in cloud and cloud-influenced technologies for internet of things applications
R Jeyaraj, A Balasubramaniam, AK MA… - ACM Computing …, 2023 - dl.acm.org
The trend of adopting Internet of Things (IoT) in healthcare, smart cities, Industry 4.0, and so
on is increasing by means of cloud computing, which provides on-demand storage and …
on is increasing by means of cloud computing, which provides on-demand storage and …
Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions
With the acceleration of the Internet in Web 2.0, Cloud computing is a new paradigm to offer
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …
An adaptive resource management scheme in cloud computing
CJ Huang, CT Guan, HM Chen, YW Wang… - … Applications of Artificial …, 2013 - Elsevier
There are various significant issues in resource allocation, such as maximum computing
performance and green computing, which have attracted researchers' attention recently …
performance and green computing, which have attracted researchers' attention recently …
Modeling and analysis of state-of-the-art VM-based cloud management platforms
Virtualization is a key aspect to achieve scalability and flexibility in a cloud. Many solutions
have been proposed to monitor and deploy Virtual Machines (VM) in resource pool of cloud …
have been proposed to monitor and deploy Virtual Machines (VM) in resource pool of cloud …
Energy efficient resource allocation in cloud computing environments
Power consumption is one of the major concerns for the cloud providers. The issue of
disorganized power consumption can be categorized into two main groups: one caused by …
disorganized power consumption can be categorized into two main groups: one caused by …