BHyPreC: a novel Bi-LSTM based hybrid recurrent neural network model to predict the CPU workload of cloud virtual machine

ME Karim, MMS Maswood, S Das, AG Alharbi - IEEE Access, 2021 - ieeexplore.ieee.org
With the advancement of cloud computing technologies, there is an ever-increasing demand
for the maximum utilization of cloud resources. It increases the computing power …

An Efficient Load Prediction‐Driven Scheduling Strategy Model in Container Cloud

L Wang, S Guo, P Zhang, H Yue, Y Li… - … Journal of Intelligent …, 2023 - Wiley Online Library
The rise of containerization has led to the development of container cloud technology, which
offers container deployment and management services. However, scheduling a large …

A novel stochastic model for very short-term wind speed forecasting in the determination of wind energy potential of a region: A case study from Turkey

Ü Ağbulut - Sustainable Energy Technologies and Assessments, 2022 - Elsevier
The dominant use of fossil fuels in energy production and the great damage they have
caused to both environment and human health are nowadays well-noticed. This dominant …

Lake area analysis using exponential smoothing model and long time-series landsat images in Wuhan, China

G Duan, R Niu - Sustainability, 2018 - mdpi.com
The loss of lake area significantly influences the climate change in a region, and this loss
represents a serious and unavoidable challenge to maintaining ecological sustainability …

Lsru: A novel deep learning based hybrid method to predict the workload of virtual machines in cloud data center

MNH Shuvo, MMS Maswood… - 2020 IEEE Region 10 …, 2020 - ieeexplore.ieee.org
Task scheduling is a key innovation of cloud computing. However, forecasting resource
usage depends on the previous usage of resource. Thus, this type of problem is modeled as …

Applying gated recurrent units pproaches for workload prediction

Y Guo, W Yao - NOMS 2018-2018 IEEE/IFIP Network …, 2018 - ieeexplore.ieee.org
Resource scheduling is a key technology of cloud computing. In order to manage the
resources in cloud efficiently, it is necessary to use workload prediction techniques for …

Using historical precipitation patterns to forecast daily extremes of rainfall for the coming decades in Naples (Italy)

N Diodato, G Bellocchi - Geosciences, 2018 - mdpi.com
The coasts of the Italian peninsula have been recently affected by frequent damaging
hydrological events driven by intense rainfall and deluges. The internal climatic mechanisms …

A pragmatic method to forecast stumpage prices

JE Wagner, J Rahn, M Cavo - Forest science, 2019 - academic.oup.com
Stumpage price is one of the key economic inputs in developing sustainable forest-
management plans and analyzing forest-management decisions and investments. A robust …

The operation and maintenance governance of microservices architecture systems: A systematic literature review

L Wang, YX Jiang, Z Wang, QE Huo… - Journal of Software …, 2023 - Wiley Online Library
Due to its development agility, continuous delivery, scalability and other characteristics, the
microservice architecture systems (MASs) have provided complex business functions to …

Feature extraction in control chart patterns with missing data

R Haghighati, A Hassan - Journal of Physics: Conference Series, 2019 - iopscience.iop.org
Data preprocessing and feature extraction are critical steps in control chart pattern (CCP)
recognition for reducing dimensionality and irrelevant information. To ensure good quality of …