A systematic review of energy management strategies for resource allocation in the cloud: Clustering, optimization and machine learning

S Jayaprakash, MD Nagarajan, RP Prado… - Energies, 2021 - mdpi.com
Nowadays, many organizations and individual users are employing cloud services
extensively due to their efficiency, reliability and low cost. A key aspect for cloud data centers …

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 …

Enhanced resource allocation in distributed cloud using fuzzy meta-heuristics optimization

AK Sangaiah, A Javadpour, P Pinto, S Rezaei… - Computer …, 2023 - Elsevier
Cloud computing is a modern technology that has become popular today. A large number of
requests has made it essential to propose a resources allocation framework for arriving …

HHO-ACO hybridized load balancing technique in cloud computing

M Sumathi, N Vijayaraj, SP Raja… - International Journal of …, 2023 - Springer
Due to on-demand requirement of computing resources, cloud computing (CC) is the widely
used technology in data storage, software and platform. CC provides everything as a service …

Ai-based sustainable and intelligent offloading framework for iiot in collaborative cloud-fog environments

M Kumar, GK Walia, H Shingare… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The cloud paradigm is one of the most trending areas in today's era due to its rich profusion
of services. However, it fails to serve the latency-sensitive Industrial Internet of Things (IIoT) …

Energy aware resource optimization using unified metaheuristic optimization algorithm allocation for cloud computing environment

FN Al-Wesabi, M Obayya, MA Hamza… - … Informatics and Systems, 2022 - Elsevier
In recent times, cloud computing (CC) has rapidly emerged as an effective framework for
offering IT infrastructure, resources, and services on a pay-per-use basis. An extensive …

Edge intelligence in Smart Grids: A survey on architectures, offloading models, cyber security measures, and challenges

DN Molokomme, AJ Onumanyi… - Journal of Sensor and …, 2022 - mdpi.com
The rapid development of new information and communication technologies (ICTs) and the
deployment of advanced Internet of Things (IoT)-based devices has led to the study and …

Exploring the trend of recognizing apple leaf disease detection through machine learning: a comprehensive analysis using bibliometric techniques

A Bonkra, S Pathak, A Kaur, MA Shah - Artificial Intelligence Review, 2024 - Springer
This study's foremost objectives were to scrutinize how unexpected weather affects
agricultural output and to assess how well AI-based machine learning and deep leaning …

Multi objective task scheduling algorithm in cloud computing using grey wolf optimization

S Mangalampalli, GR Karri, M Kumar - Cluster Computing, 2023 - Springer
The scheduling of applications is one of the prominent challenges in cloud computing, due
to run time mapping by task scheduler between upcoming workload and cloud resources …

Multi-objective whale optimization algorithm for computation offloading optimization in mobile edge computing

M Huang, Q Zhai, Y Chen, S Feng, F Shu - Sensors, 2021 - mdpi.com
Computation offloading is one of the most important problems in edge computing. Devices
can transmit computation tasks to servers to be executed through computation offloading …