Recent advancements in resource allocation techniques for cloud computing environment: a systematic review

SHH Madni, MSA Latiff, Y Coulibaly, SM Abdulhamid - cluster computing, 2017 - Springer
There are two actors in cloud computing environment cloud providers and cloud users. On
one hand cloud providers hold enormous computing resources in the cloud large data …

Workload aware VM consolidation method in edge/cloud computing for IoT applications

I Mohiuddin, A Almogren - Journal of Parallel and Distributed Computing, 2019 - Elsevier
Wide-ranging edge cloud data centers are a vital part of the solution for the problems
caused by enormous growth in the IT industry for high computational power by advanced …

Modeling dynamic spatio-temporal correlations for urban traffic flows prediction

N Awan, A Ali, F Khan, M Zakarya, R Alturki… - IEEE …, 2021 - ieeexplore.ieee.org
Prediction of traffic crowd movement is one of the most important component in many
applications' domains ranging from urban management to transportation schedule. The key …

[HTML][HTML] Sustainable expert virtual machine migration in dynamic clouds

D Seddiki, SG Galán, JEM Expósito, MV Ibañez… - Computers and …, 2022 - Elsevier
Operation on demand flexibility in cloud computing services has resulted in great popularity
and wide adoption. These services integrate thousands of computers, storage and …

Enhancing the security and performance of cloud for e-governance infrastructure: Secure E-MODI

HS Lamkuche, VB Kondaveety… - International Journal of …, 2022 - igi-global.com
E-Governance is getting momentous in India. Over the years, e-Governance has played a
major part in every sphere of the economy. In this paper, we have proposed E-MODI (E …

Energy-saving resource allocation in cloud data centers

MM Than, T Thein - 2020 IEEE Conference on Computer …, 2020 - ieeexplore.ieee.org
As the demands of cloud computing intensify, more facilities running power-intensive
servers are necessary for cloud data centers. Such data center servers consume a large …

AI-powered VM selection: Amplifying cloud performance with dragonfly algorithm

S Rashmi, V Siwach, H Sehrawat, GS Brar, J Singla… - Heliyon, 2024 - cell.com
The convenience and cost-effectiveness offered by cloud computing have attracted a large
customer base. In a cloud environment, the inclusion of the concept of virtualization requires …

A state based energy optimization framework for dynamic virtual machine placement

Z Xiao, Z Ming - Data & Knowledge Engineering, 2019 - Elsevier
The dynamic optimization of virtual machine (VM) placement is to dynamically adjust the
placement of VMs on physical machines (PMs) to accomplish some objectives with certain …

Relevance of using interpretability indexes for the design of schedulers in cloud computing systems

SG Galán, M Seddiki, RJP de Prado… - … on Fuzzy Systems …, 2020 - ieeexplore.ieee.org
At the dawn of the fourth industrial revolution, artificial intelligence is impregnating our
society by an overwhelming number of applications with rising complexity. This …

Energy Efficient Real-time Tasks Scheduling on High Performance Edge-Computing Systems using Genetic Algorithm

H Hussain, M Zakarya, A Ali, AA Khan… - IEEE …, 2024 - ieeexplore.ieee.org
With an increase in the number of processing cores or systems, the high-performance edge-
computing system's power consumption along with its computational speed will increase …