Applying reinforcement learning towards automating energy efficient virtual machine consolidation in cloud data centers

R Shaw, E Howley, E Barrett - Information Systems, 2022 - Elsevier
Energy awareness presents an immense challenge for cloud computing infrastructure and
the development of next generation data centers. Virtual Machine (VM) consolidation is one …

Multiuser computation offloading and downloading for edge computing with virtualization

Z Liang, Y Liu, TM Lok, K Huang - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Mobile-edge computing (MEC) is an emerging technology for enhancing the computational
capabilities of the mobile devices and reducing their energy consumption via offloading …

An intelligent ensemble learning approach for energy efficient and interference aware dynamic virtual machine consolidation

R Shaw, E Howley, E Barrett - Simulation Modelling Practice and Theory, 2020 - Elsevier
Inefficient resource usage is one of the greatest causes of high energy consumption in cloud
data centers. Virtual Machine (VM) consolidation is an effective method for improving energy …

Perspective of virtual machine consolidation in cloud computing: a systematic survey

J Zou, K Wang, K Zhang, M Kassim - Telecommunication Systems, 2024 - Springer
Abstract Virtual Machine Consolidation (VMC) in cloud computing refers to the process of
optimizing resource utilization by consolidating multiple Virtual Machines (VMs) onto fewer …

I/O interference aware multiuser computation offloading for virtualized edge computing

Z Liang, Y Liut, K Huang, TM Lok - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Mobile-edge computing (MEC) is an emerging technology for enhancing the computational
capabilities of mobile devices and reducing their energy consumption via offloading …

A heuristic algorithm for minimizing server maintenance time and vulnerability surface on data centers

PSS Souza - 2020 - tede2.pucrs.br
Cost reduction and enhanced scalability boosted the adoption of cloud computing by multi-
sized companies. To maintain the promised features, cloud operators perform several …

[BOK][B] Predicting Fine-grained Cloud Resource Usage with Online and Offline Learning

A Kwan - 2020 - search.proquest.com
Modern data centers have inefficiencies, leading to wasted power consumption costs.
Traditional resource allocation techniques are threshold-based, which performs poorly for …

[PDF][PDF] ARSM hybrid hash algorithm based optimal solution approach and implementation for improved cloud security defensive mechanism

G Srinivasa Rao, PC Arur, MR Lamani - academia.edu
Cloud is a technically updating, sophisticated interactive, distributed phenomenal,
computational technological environment, with its collection of heterogeneous services …

[PDF][PDF] Machine Learning Interference Modelling for Cloud-native Applications

A Baluta - 2021 - yorkspace.library.yorku.ca
Modern cloud-native applications use microservice architecture patterns, where fine
granular software components are deployed in lightweight containers that run inside cloud …

[PDF][PDF] A Systematic Review On Interference In Cloud Computing Environment

SK Shukla, B Pant, D Verma, MA Desai - Ilkogretim Online, 2021 - researchgate.net
Transmutations through cloud computing affect every aspect of computing; that could be
measured in terms of performance. Furthermore, to support the performance enhancement …