Cluster resource scheduling in cloud computing: literature review and research challenges
W Khallouli, J Huang - The Journal of supercomputing, 2022 - Springer
Scheduling plays a pivotal role in cloud computing systems. Designing an efficient
scheduler is a challenging task. The challenge comes from several aspects, including the …
scheduler is a challenging task. The challenge comes from several aspects, including the …
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 …
Host load prediction in cloud computing with discrete wavelet transformation (dwt) and bidirectional gated recurrent unit (bigru) network
J Dogani, F Khunjush, M Seydali - Computer Communications, 2023 - Elsevier
Providing pay-as-you-go storage and computing services have contributed to the
widespread adoption of cloud computing. Using virtualization technology, cloud service …
widespread adoption of cloud computing. Using virtualization technology, cloud service …
Cloud computing load prediction by decomposition reinforced attention long short-term memory network optimized by modified particle swarm optimization algorithm
Computer resources provision over the internet resulted in the wide spread usage of cloud
computing paradigm. With the use of such resources come certain challenges that can …
computing paradigm. With the use of such resources come certain challenges that can …
OFP-TM: an online VM failure prediction and tolerance model towards high availability of cloud computing environments
The indispensable collaboration of cloud computing in every digital service has raised its
resource usage exponentially. The ever-growing demand of cloud resources evades service …
resource usage exponentially. The ever-growing demand of cloud resources evades service …
Forecasting Cloud Application Workloads With CloudInsight for Predictive Resource Management
Predictive cloud resource management has been widely adopted to overcome the
limitations of reactive cloud autoscaling. The predictive resource management is highly …
limitations of reactive cloud autoscaling. The predictive resource management is highly …
Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism
J Dogani, F Khunjush, MR Mahmoudi… - The Journal of …, 2023 - Springer
The resources required to service cloud computing applications are dynamic and fluctuate
over time in response to variations in the volume of incoming requests. Proactive …
over time in response to variations in the volume of incoming requests. Proactive …
Application of a long short term memory neural predictor with asymmetric loss function for the resource allocation in NFV network architectures
V Eramo, FG Lavacca, T Catena, PJP Salazar - Computer Networks, 2021 - Elsevier
Traffic and cloud resource prediction methodologies have been recently used in Network
Function Virtualization environment for cloud and bandwidth resource allocation purposes …
Function Virtualization environment for cloud and bandwidth resource allocation purposes …
Application of an innovative convolutional/LSTM neural network for computing resource allocation in NFV network architectures
V Eramo, T Catena - IEEE Transactions on Network and …, 2022 - ieeexplore.ieee.org
An innovative resource allocation framework for virtualized network environments and
based on the application of Artificial Intelligence techniques is proposed and investigated. It …
based on the application of Artificial Intelligence techniques is proposed and investigated. It …
Distributed LSTM-based cloud resource allocation in network function virtualization architectures
The high reconfiguration time of cloud resources in Network Function Virtualization
environments has led to the proposal of prediction-based resource allocation algorithms …
environments has led to the proposal of prediction-based resource allocation algorithms …