Making the whole greater than the sum of its parts: A literature review of ensemble methods for financial time series forecasting
This paper discusses the application of ensemble techniques for the prediction of time
series, presenting an in‐depth review of the main techniques and algorithms used by the …
series, presenting an in‐depth review of the main techniques and algorithms used by the …
A stacking model using URL and HTML features for phishing webpage detection
Y Li, Z Yang, X Chen, H Yuan, W Liu - Future Generation Computer …, 2019 - Elsevier
In this paper, we present a stacking model to detect phishing webpages using URL and
HTML features. In terms of features, we design lightweight URL and HTML features and …
HTML features. In terms of features, we design lightweight URL and HTML features and …
BHyPreC: a novel Bi-LSTM based hybrid recurrent neural network model to predict the CPU workload of cloud virtual machine
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 …
for the maximum utilization of cloud resources. It increases the computing power …
A survey and classification of the workload forecasting methods in cloud computing
M Masdari, A Khoshnevis - Cluster Computing, 2020 - Springer
Workload prediction is one of the important parts of proactive resource management and
auto-scaling in cloud computing. Accurate prediction of workload in cloud computing is of …
auto-scaling in cloud computing. Accurate prediction of workload in cloud computing is of …
Resource and replica management strategy for optimizing financial cost and user experience in edge cloud computing system
C Li, J Bai, Y Chen, Y Luo - Information Sciences, 2020 - Elsevier
Edge cloud computing can provide resources that are close to users and reduce response
time. However, the edge cloud computing system still faces many challenges on addressing …
time. However, the edge cloud computing system still faces many challenges on addressing …
Accurate workload prediction for edge data centers: Savitzky-Golay filter, CNN and BiLSTM with attention mechanism
Workload prediction is a fundamental task in edge data centers, which aims to accurately
estimate the workload to achieve an in-situ resource provisioning for workload execution. In …
estimate the workload to achieve an in-situ resource provisioning for workload execution. In …
Degtec: A deep graph-temporal clustering framework for data-parallel job characterization in data centers
Y Liang, K Chen, L Yi, X Su, X Jin - Future Generation Computer Systems, 2023 - Elsevier
Complex data-parallel job contains task dependency information defined as Directed Acyclic
Graph (DAG). For convenience, the DAG presented data-parallel jobs are named as DAG …
Graph (DAG). For convenience, the DAG presented data-parallel jobs are named as DAG …
Stock market prediction based on deep hybrid RNN model and sentiment analysis
A John, T Latha - … za automatiku, mjerenje, elektroniku, računarstvo i …, 2023 - hrcak.srce.hr
Sažetak Stock market movements, stocks, and exchange rates are the primary subjects and
active areas of research for analysts and researchers. The stock prices is being influenced …
active areas of research for analysts and researchers. The stock prices is being influenced …
A survey on the current challenges of energy-efficient cloud resources management
Given the perpetual surging of cloud services' requests, energy consumption of cloud data
centers with their related CO 2 emissions still represents major issues. Efficient use of …
centers with their related CO 2 emissions still represents major issues. Efficient use of …
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 …
usage depends on the previous usage of resource. Thus, this type of problem is modeled as …