Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey
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 …
computing. Recently, fog and edge computing have been introduced as extensions of cloud …
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 …
Multi-task learning for electricity price forecasting and resource management in cloud based industrial IoT systems
AA Almazroi, N Ayub - IEEE Access, 2023 - ieeexplore.ieee.org
Cloud computing has gained immense popularity in the logistics industry. This innovative
technology optimizes computing operations by eliminating the requirement for physical …
technology optimizes computing operations by eliminating the requirement for physical …
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 …
deviations present significant challenges for power system security and power quality …
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 …
utilizing processing, network, and storage resources close to end devices, such as Internet …
A Review on Machine Learning Methods for Workload Prediction in Cloud Computing
M Yekta, HS Shahhoseini - 2023 13th International Conference …, 2023 - ieeexplore.ieee.org
Workload prediction is one of the critical parts of resource provisioning in cloud computing
and its evolved branches such as serverless and edge computing. Effective resource …
and its evolved branches such as serverless and edge computing. Effective resource …
[HTML][HTML] Automatic data featurization for enhanced proactive service auto-scaling: Boosting forecasting accuracy and mitigating oscillation
Edge computing has gained widespread adoption for time-sensitive applications by
offloading a portion of IoT system workloads from the cloud to edge nodes. However, the …
offloading a portion of IoT system workloads from the cloud to edge nodes. However, the …
A two-tier multi-objective service placement in container-based fog-cloud computing platforms
J Dogani, A Yazdanpanah, A Zare, F Khunjush - Cluster Computing, 2023 - Springer
The utilization of cloud computing in Internet of Things (IoT) applications has become
widespread. However, it presents challenges for latency-sensitive scenarios due to data …
widespread. However, it presents challenges for latency-sensitive scenarios due to data …
Robustness of Workload Forecasting Models in Cloud Data Centers: A White-Box Adversarial Attack Perspective
Cloud computing has become the cornerstone of modern technology, propelling industries
to unprecedented heights with its remarkable and recent advances. However, the …
to unprecedented heights with its remarkable and recent advances. However, the …
[HTML][HTML] Fog Computing and Industry 4.0 for Newsvendor Inventory Model Using Attention Mechanism and Gated Recurrent Unit
J Gonzalez, L Avelar Sosa, G Bravo, O Cruz-Mejia… - Logistics, 2024 - mdpi.com
Background: Efficient inventory management is critical for sustainability in supply chains.
However, maintaining adequate inventory levels becomes challenging in the face of …
However, maintaining adequate inventory levels becomes challenging in the face of …