A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data center

D Saxena, AK Singh - Neurocomputing, 2021 - Elsevier
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 …

Energy-efficient resource allocation and provisioning framework for cloud data centers

M Dabbagh, B Hamdaoui, M Guizani… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Energy efficiency has recently become a major issue in large data centers due to financial
and environmental concerns. This paper proposes an integrated energy-aware resource …

Harnessing renewable energy in cloud datacenters: opportunities and challenges

W Deng, F Liu, H Jin, B Li, D Li - iEEE Network, 2014 - ieeexplore.ieee.org
The proliferation of cloud computing has promoted the wide deployment of largescale
datacenters with tremendous power consumption and high carbon emission. To reduce …

Optimizing Resource Allocation in Cloud Infrastructure through AI Automation: A Comparative Study

MJ Karamthulla, JNA Malaiyappan, R Tillu - Journal of Knowledge …, 2023 - jklst.org
Optimizing resource allocation in cloud infrastructure is paramount for ensuring efficient
utilization of computing resources and minimizing operational costs. With the proliferation of …

Towards thermal-aware workload distribution in cloud data centers based on failure models

J Li, Y Deng, Y Zhou, Z Zhang, G Min… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Increasing workload conditions lead to a significant surge in power consumption and
computing node failures in data centers. The existing workload distribution strategies …

Energy saving evaluation of an energy efficient data center using a model-free reinforcement learning approach

MHB Mahbod, CB Chng, PS Lee, CK Chui - Applied Energy, 2022 - Elsevier
To reduce cooling energy consumption, data centers are recommended to raise temperature
setpoints of server intake. However, in tropical climates, Data Center operators are still found …

Q-learning based dynamic task scheduling for energy-efficient cloud computing

D Ding, X Fan, Y Zhao, K Kang, Q Yin, J Zeng - Future Generation …, 2020 - Elsevier
High energy consumption has become a growing concern in the operation of complex cloud
data centers due to the ever-expanding size of cloud computing facilities and the ever …

PEFS: AI-driven prediction based energy-aware fault-tolerant scheduling scheme for cloud data center

A Marahatta, Q Xin, C Chi, F Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Cloud data centers (CDCs) have become increasingly popular and widespread in recent
years with the growing popularity of cloud computing and high-performance computing. Due …

The future of cloud computing: opportunities, challenges and research trends

A Kaur, VP Singh, SS Gill - … Conference on I-SMAC (IoT in …, 2018 - ieeexplore.ieee.org
In a cloud computing environment, datacenter consists of number of servers, cooling and
power delivery equipment's that require enormous measure of computational energy to drive …

Energy, exergy and computing efficiency based data center workload and cooling management

R Gupta, S Asgari, H Moazamigoodarzi, DG Down… - Applied Energy, 2021 - Elsevier
The rapidly rising computing workloads in data centers (DCs) have necessitated new
approaches to ensure effective performance and resilience that minimize the associated …