A comprehensive review of cloud computing virtual machine consolidation

J Singh, NK Walia - IEEE Access, 2023 - ieeexplore.ieee.org
In the last decade, users have been able to access their applications, data, and services via
the cloud from any location with an internet connection. The scale of heterogeneous cloud …

Scaling upf instances in 5g/6g core with deep reinforcement learning

HT Nguyen, T Van Do, C Rotter - IEEE Access, 2021 - ieeexplore.ieee.org
In the 5G core and the upcoming 6G core, the User Plane Function (UPF) is responsible for
the transportation of data from and to subscribers in Protocol Data Unit (PDU) sessions. The …

Scalable virtual machine migration using reinforcement learning

AR Hummaida, NW Paton, R Sakellariou - Journal of Grid Computing, 2022 - Springer
Heuristic approaches require fixed knowledge of how resource allocation should be carried
out, and this can be limiting when managing variable cloud workloads. Solutions based on …

Reinforcement learning applications in environmental sustainability: a review

M Zuccotto, A Castellini, DL Torre, L Mola… - Artificial Intelligence …, 2024 - Springer
Environmental sustainability is a worldwide key challenge attracting increasing attention due
to climate change, pollution, and biodiversity decline. Reinforcement learning, initially …

Efficient cloud data center: An adaptive framework for dynamic Virtual Machine Consolidation

SM Rozehkhani, F Mahan, W Pedrycz - Journal of Network and Computer …, 2024 - Elsevier
Cloud computing is a thriving and ever-expanding sector in the industry world. This growth
has sparked increased interest from organizations seeking to harness its potential. However …

Dynamic virtual machine consolidation algorithm based on balancing energy consumption and quality of service

W Li, Q Fan, W Cui, F Dang, X Zhang, C Dai - IEEE Access, 2022 - ieeexplore.ieee.org
Virtual machine consolidation (VMC) is an effective way to solve the problems of high power
consumption and low utilization in cloud data centers. However, large-scale virtual machine …

Alternative Approaches to HVAC Control of Chat Generative Pre-Trained Transformer (ChatGPT) for Autonomous Building System Operations

KU Ahn, DW Kim, HM Cho, CU Chae - Buildings, 2023 - mdpi.com
Artificial intelligence (AI) technology has rapidly advanced and transformed the nature of
scientific inquiry. The recent release of the large language model Chat Generative Pre …

Cloud Computing and Machine Learning in the Green Power Sector: Data Management and Analysis for Sustainable Energy

S Tirlangi, S Teotia, G Padmapriya… - … Intelligent Systems for …, 2024 - igi-global.com
The green power sector is revolutionizing energy production, grid management, and
sustainability by integrating cloud computing and machine learning techniques. This chapter …

Applications of virtual machine using multi-objective optimization scheduling algorithm for improving CPU utilization and energy efficiency in cloud computing

R Choudhary, S Perinpanayagam - Energies, 2022 - mdpi.com
Financial costs and energy savings are considered to be more critical on average for
computationally intensive workflows, as such workflows which generally require extended …

Serverless Cloud Computing: State of the Art and Challenges

V Lannurien, L D'orazio, O Barais… - … Computing: Principles and …, 2023 - Springer
The serverless model represents a paradigm shift in the cloud: as opposed to traditional
cloud computing service models, serverless customers do not reserve hardware resources …