Task scheduling and VM placement to resource allocation in Cloud computing: challenges and opportunities

K Saidi, D Bardou - Cluster Computing, 2023 - Springer
Recently, there has been growing interest in distributed models for addressing issues
related to Cloud computing environments, particularly resource allocation. This involves two …

A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning

A Heidari, NJ Navimipour, MAJ Jamali… - … : Informatics and Systems, 2023 - Elsevier
Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …

Smart load-based resource optimization model to enhance the performance of device-to-device communication in 5G-WPAN

J Logeshwaran, T Kiruthiga, R Kannadasan… - Electronics, 2023 - mdpi.com
In wireless personal area networks (WPANs), devices can communicate with each other
without relying on a central router or access point. They can improve performance and …

Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges

J Hassannataj Joloudari, S Mojrian, H Saadatfar… - Multimedia Tools and …, 2024 - Springer
With the increasing growth of information through smart devices, enhancing the quality of
human life necessitates the adoption of various computational paradigms including, cloud …

Development of a Machine Learning (ML)-Based Computational Model to Estimate the Engineering Properties of Portland Cement Concrete (PCC)

R Polo-Mendoza, G Martinez-Arguelles… - Arabian Journal for …, 2024 - Springer
Portland cement concrete (PCC) is the construction material most used worldwide. Hence,
its proper characterization is fundamental for the daily-basis engineering practice …

Learn with curiosity: A hybrid reinforcement learning approach for resource allocation for 6G enabled connected cars

S Kavaiya - Mobile Networks and Applications, 2023 - Springer
Due to the rapid expansion of heterogeneous mobile networks, there has been a significant
increase in the need for a network, processing, and caching resources. A dynamic vehicular …

[HTML][HTML] Enhanced whale optimization algorithm for dependent tasks offloading problem in multi-edge cloud computing

KM Hosny, AI Awad, W Said, M Elmezain… - Alexandria Engineering …, 2024 - Elsevier
In this paper, we introduce the Enhanced Whale Optimization Algorithm (EWA) to optimize
dependent task offloading in a multi-edge cloud computing environment. Our proposed …

CSformer: Enhancing deep learning efficiency for intelligent IoT

X Jia, H Wu, R Zhang, M Peng - Computer Communications, 2024 - Elsevier
The rapid development of deep learning technology has led to increasing demand for more
intelligent, automated, and humanized Internet of Things (IoT) devices. Deep learning …

[PDF][PDF] Whale Optimization Algorithm for Energy-Efficient Task Allocation in the Internet of Things

Y Shan, YU Renping, JIN Xin - International Journal of …, 2023 - pdfs.semanticscholar.org
The Internet of Things (IoT) represents a new paradigm where various physical devices
interact and collaborate to achieve common goals. This technology encompasses sensors …

Artificial Intelligence-Defined Wireless Networking for Computational Offloading and Resource Allocation in Edge Computing Networks

SDA Shah, M Gregory, F Bouhafs… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
The advent of the Internet of Everything and new Ultra-Reliable Low-Latency
Communication (URLLC) services has resulted in an exponential growth in data demands at …