Network Slice Mobility and Service Function Chain Migration across Multiple Administrative Cloud Domains

RA Addad - 2024 - aaltodoc.aalto.fi
The maturing 5G network technology sees growing commercial deployments, with a shifting
focus to service delivery. 5G networks, a common platform for diverse services, utilize …

A survey on application of machine learning to manage the virtual machines in cloud computing

V Barthwal, MMS Rauthan, R Varma - International Review of …, 2020 - akjournals.com
Virtual machine (VM) management is a fundamental challenge in the cloud datacenter, as it
requires not only scheduling and placement, but also optimization of the method to maintain …

[PDF][PDF] Researching advanced deep learning methodologies in combination with reinforcement learning techniques

S Mousavi, M Schukat, E Howley - 2018 - researchgate.net
Reinforcement learning (RL) algorithms involve the strategy of learning via interacting
(sequences of actions, observations, and rewards) with the environment. RL-based methods …

A Comprehensive Review on Autonomous Consolidation of Virtual Machine for Energy and Resource Management

G Bajpai, P Singh, AK Agarwal - … of the 5th International Conference on …, 2023 - dl.acm.org
Energy efficiency and awareness of power utilization are significant challenges while
building up a cloud computing infrastructure and next-generation data centers …

Efficient Resource Allocation for Offshore Intelligent Navigational Aids Using Deep Reinforcement Learning

R Zhang, C Zhao, M Pan - ISOPE International Ocean and Polar …, 2024 - onepetro.org
Maritime facilities are increasingly electrified and digitalized as smart technology is widely
applied. Offshore navigation buoys, integrating more sensors and smart terminals, play an …

A Deep Reinforcement Learning based VM Scheduling Strategy Decreasing Data Center Communication costs

Z Xiao, X Liu, Z Ming - 2022 IEEE 24th Int Conf on High …, 2022 - ieeexplore.ieee.org
With the rapid development of cloud computing, more and more complicated services are
deployed on the cloud. The frequent communication between services places a great …

[PDF][PDF] Advances in evolutionary neural networks with applications in energy systems and the environment

K Mason - 2018 - researchgate.net
Evolutionary neural networks combine two of the most powerful areas of computing,
evolutionary algorithms and neural networks. There are a number of benefits of using …

Apprenticeship Learning Based Load Balancing Technique for Cloud Environment

SP Vatsalya, N Vidhya Sree… - … , Information and Control …, 2020 - Springer
Cloud Computing is accessing and handling data and documents from the internet rather
than from any individual computer hard drive. The issues faced by cloud computing are …

Approach of glowworm swarm optimization based virtual machine placement.

XU Shengchao, X Maohua… - Telecommunications …, 2022 - search.ebscohost.com
In a cloud data center, one of the most important problems is using novel virtual machine
placement strategy to promote the physical resource utilization. An approach of glowworm …

[PDF][PDF] Addad, Rami Akrem; Dutra, Diego Leonel Cadette; Taleb, Tarik; Flinck, Hannu Toward Using Reinforcement Learning for Trigger Selection in Network Slice …

RA Addad - 2021 - acris.aalto.fi
Recent 5G trials have demonstrated the usefulness of the Network Slicing concept that
delivers customizable services to new and under-serviced industry sectors. However, user …