Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey

J Dogani, R Namvar, F Khunjush - Computer Communications, 2023 - Elsevier
The long-held dream of computing as a service was realized with the emergence of cloud
computing. Recently, fog and edge computing have been introduced as extensions of cloud …

Variational mode decomposition and sample entropy optimization based transformer framework for cloud resource load prediction

J Zhu, W Bai, J Zhao, L Zuo, T Zhou, K Li - Knowledge-Based Systems, 2023 - Elsevier
The efficient prediction of cloud resource demand plays a crucial role in resource allocation
and scheduling in cloud data centers, helping to optimize resource utilization and improve …

A hybrid model based on discrete wavelet transform (DWT) and bidirectional recurrent neural networks for wind speed prediction

A Barjasteh, SH Ghafouri, M Hashemi - Engineering Applications of …, 2024 - Elsevier
Wind speed is the main driver of wind power output, but its inherent fluctuations and
deviations present significant challenges for power system security and power quality …

Effect of data enhancement on state-of-charge estimation of lithium-ion battery based on deep learning methods

M Li, C Li, C Chen, Q Zhang, X Liu, W Liao, X Liu… - Journal of Energy …, 2024 - Elsevier
Abstract State-of-charge (SOC) estimation is the key to the safe and efficient utilization of
lithium-ion batteries. With the development of deep learning method, SOC estimation …

DCSP: A delay and cost-aware service placement and load distribution algorithm for IoT-based fog networks

S Azizi, M Shojafar, P Farzin, J Dogani - Computer Communications, 2024 - Elsevier
The service placement problem in a fog-cloud pertains to the intricate task of ascertaining
the optimal placement locations for diverse service replicas that constitute an Internet of …

Proactive auto-scaling technique for web applications in container-based edge computing using federated learning model

J Dogani, F Khunjush - Journal of Parallel and Distributed Computing, 2024 - Elsevier
Edge computing has emerged as an attractive alternative to traditional cloud computing by
utilizing processing, network, and storage resources close to end devices, such as Internet …

Genetic-based virtual machines consolidation strategy with efficient energy consumption in cloud environment

M Radi, AA Alwan, Y Gulzar - IEEE Access, 2023 - ieeexplore.ieee.org
In cloud computing environments, virtualization is used to share physical machine (PM)
resources among multiple users by creating virtual machines (VMs). Running the PM …

A Brief Review on Prediction Methods for Cloud Resource Management

C Kuang, Y Qiu, W Cao, Z Xiao… - 2024 9th IEEE …, 2024 - ieeexplore.ieee.org
The complexity of apps running on cloud platforms is evident in their nature. Every
application has distinct needs for processing power and memory at various times. In order to …

A feature extraction and time warping based neural expansion architecture for cloud resource usage forecasting

G Singh, P Sengupta, A Mehta, J Bedi - Cluster Computing, 2024 - Springer
Accurate resource utilization estimation is crucial for efficient resource allocation, capacity
planning, and cost optimization in cloud systems. In the past, several artificial intelligence …

WTFormer: RUL prediction method guided by trainable wavelet transform embedding and lagged penalty loss

Q Yang, B Tang, L Deng, P Zhu, Z Ming - Advanced Engineering …, 2024 - Elsevier
Accurately and effectively predicting the Remaining Useful Life (RUL) of bearings in extreme
environments is crucial for efficient operations and maintenance. To improve the …