Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review

R Ghafari, FH Kabutarkhani, N Mansouri - Cluster Computing, 2022 - Springer
Cloud computing is very popular because of its unique features such as scalability, elasticity,
on-demand service, and security. A large number of tasks are performed simultaneously in a …

Machine learning for service migration: a survey

N Toumi, M Bagaa, A Ksentini - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …

MECpVmS: an SLA aware energy-efficient virtual machine selection policy for green cloud computing

R Mandal, MK Mondal, S Banerjee, G Srivastava… - Cluster …, 2023 - Springer
Cloud computing provides a service-oriented computing model to cloud users on a metered
basis. Most of the cloud data centers are running on fossil fuels. It elevates the carbon …

Virtual machine migration techniques for optimizing energy consumption in cloud data centers

Z Ma, D Ma, M Lv, Y Liu - IEEE Access, 2023 - ieeexplore.ieee.org
The energy used by cloud data centers (CDCs) to support large volumes of data storage and
computation is dramatically increasing as the scope of cloud services continues to expand …

COSCO2: AI‐augmented evolutionary algorithm based workload prediction framework for sustainable cloud data centers

R Karthikeyan, V Balamurugan, R Cyriac… - Transactions on …, 2023 - Wiley Online Library
Workload prediction is the necessary factor in the cloud data center for maintaining the
elasticity and scalability of resources. However, the accuracy of workload prediction is very …

A virtual machine consolidation algorithm based on dynamic load mean and multi-objective optimization in cloud computing

P Li, J Cao - Sensors, 2022 - mdpi.com
High energy consumption and low resource utilization have become increasingly prominent
problems in cloud data centers. Virtual machine (VM) consolidation is the key technology to …

VTGAN: hybrid generative adversarial networks for cloud workload prediction

AI Maiyza, NO Korany, K Banawan, HA Hassan… - Journal of Cloud …, 2023 - Springer
Efficient resource management approaches have become a fundamental challenge for
distributed systems, especially dynamic environment systems such as cloud computing data …

Taxonomy of green cloud computing techniques with environment quality improvement considering: a survey

LR Jahangard, A Shirmarz - International Journal of Energy and …, 2022 - Springer
Nowadays, cloud computing is one of the most up-to-date topics conducted by many
researchers. The specialists and researchers try to create a new generation of data centers …

Improved End-to-End Data Security Approach for Cloud Computing

S Ghosh, SK Verma, U Ghosh, M Al-Numay - Sustainability, 2023 - mdpi.com
Cloud computing is one of the major cutting-edge technologies that is growing at a gigantic
rate to redefine computation through service-oriented computing. It has addressed the issue …

Multi-objective prediction-based optimization of power consumption for cloud data centers

T Deepika, NM Dhanya - Arabian Journal for Science and Engineering, 2023 - Springer
The overall development of the cloud paradigm is a dominating omnipresence in the
industry 4.0 business world. Over the last decade, the control measures for power utilization …