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Applying reinforcement learning towards automating energy efficient virtual machine consolidation in cloud data centers
Energy awareness presents an immense challenge for cloud computing infrastructure and
the development of next generation data centers. Virtual Machine (VM) consolidation is one …
the development of next generation data centers. Virtual Machine (VM) consolidation is one …
Multiuser computation offloading and downloading for edge computing with virtualization
Mobile-edge computing (MEC) is an emerging technology for enhancing the computational
capabilities of the mobile devices and reducing their energy consumption via offloading …
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
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 …
data centers. Virtual Machine (VM) consolidation is an effective method for improving energy …
Perspective of virtual machine consolidation in cloud computing: a systematic survey
Abstract Virtual Machine Consolidation (VMC) in cloud computing refers to the process of
optimizing resource utilization by consolidating multiple Virtual Machines (VMs) onto fewer …
optimizing resource utilization by consolidating multiple Virtual Machines (VMs) onto fewer …
I/O interference aware multiuser computation offloading for virtualized edge computing
Mobile-edge computing (MEC) is an emerging technology for enhancing the computational
capabilities of mobile devices and reducing their energy consumption via offloading …
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 …
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 …
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 …
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 …
granular software components are deployed in lightweight containers that run inside cloud …
[PDF][PDF] A Systematic Review On Interference In Cloud Computing Environment
Transmutations through cloud computing affect every aspect of computing; that could be
measured in terms of performance. Furthermore, to support the performance enhancement …
measured in terms of performance. Furthermore, to support the performance enhancement …