Adaptive computational solutions to energy efficiency in cloud computing environment using VM consolidation

B Magotra, D Malhotra, AK Dogra - Archives of computational methods in …, 2023 - Springer
Cloud Computing has emerged as a computing paradigm where services are provided
through the internet in recent years. Offering on-demand services has transformed the IT …

Adaptive energy-aware algorithms for minimizing energy consumption and SLA violation in cloud computing

R Yadav, W Zhang, O Kaiwartya, PR Singh… - Ieee …, 2018 - ieeexplore.ieee.org
In cloud computing, high energy consumption and service-level agreements (SLAs) violation
are the challenging issues considering that the demand for computational power is growing …

Smart healthcare: RL-based task offloading scheme for edge-enable sensor networks

R Yadav, W Zhang, IA Elgendy, G Dong… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
With the wide application of Internet-of-Medical-Things (IoMTs) or sensor nodes which
equipped with sensors. These networked sensors are used to gather enormous data from …

PAPSO: A power-aware VM placement technique based on particle swarm optimization

A Ibrahim, M Noshy, HA Ali, M Badawy - IEEE Access, 2020 - ieeexplore.ieee.org
With the widespread usage of cloud computing to benefit from its services, cloud service
providers have invested in constructing large scale data centers. Consequently, a …

[PDF][PDF] Comparison of fog computing & cloud computing

V Kumar, AA Laghari, S Karim, M Shakir… - Int. J. Math. Sci …, 2019 - researchgate.net
Fog computing is extending cloud computing by transferring computation on the edge of
networks such as mobile collaborative devices or fixed nodes with built-in data storage …

Managing overloaded hosts for energy-efficiency in cloud data centers

R Yadav, W Zhang, K Li, C Liu, AA Laghari - Cluster Computing, 2021 - Springer
Traditional data centers are shifted toward the cloud computing paradigm. These data
centers support the increasing demand for computational and data storage that consumes a …

Migration-based load balance of virtual machine servers in cloud computing by load prediction using genetic-based methods

LH Hung, CH Wu, CH Tsai, HC Huang - IEEE Access, 2021 - ieeexplore.ieee.org
This paper presents a two-stage genetic mechanism for the migration-based load balance of
virtual machine hosts (VMHs) in cloud computing. Previous methods usually assume this …

An adaptive heuristic for managing energy consumption and overloaded hosts in a cloud data center

R Yadav, W Zhang, K Li, C Liu, M Shafiq, NK Karn - Wireless Networks, 2020 - Springer
In this paper, we address the problems of massive amount of energy consumption and
service level agreements (SLAs) violation in cloud environment. Although most of the …

Adaptive client selection in resource constrained federated learning systems: A deep reinforcement learning approach

H Zhang, Z Xie, R Zarei, T Wu, K Chen - IEEE Access, 2021 - ieeexplore.ieee.org
With data increasingly collected by end devices and the number of devices is growing
rapidly in which data source mainly located outside the cloud today. To guarantee data …

Design of cultural emperor penguin optimizer for energy-efficient resource scheduling in green cloud computing environment

RF Mansour, H Alhumyani, SA Khalek, RA Saeed… - Cluster …, 2023 - Springer
In recent times, energy related issues have become challenging with the increasing size of
data centers. Energy related issues problems are becoming more and more serious with the …