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Javad Dogani
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2020 – today
- 2024
- [j9]Javad Dogani, Ali Yazdanpanah, Arash Zare, Farshad Khunjush:
A two-tier multi-objective service placement in container-based fog-cloud computing platforms. Clust. Comput. 27(4): 4491-4514 (2024) - [j8]Mehdi Seydali, Farshad Khunjush, Javad Dogani:
Streaming traffic classification: a hybrid deep learning and big data approach. Clust. Comput. 27(4): 5165-5193 (2024) - [j7]Sadoon Azizi, Mohammad Shojafar, Pedram Farzin, Javad Dogani:
DCSP: A delay and cost-aware service placement and load distribution algorithm for IoT-based fog networks. Comput. Commun. 215: 9-20 (2024) - [j6]Javad Dogani, Farshad Khunjush:
Proactive auto-scaling technique for web applications in container-based edge computing using federated learning model. J. Parallel Distributed Comput. 187: 104837 (2024) - 2023
- [j5]Mehdi Seydali, Farshad Khunjush, Behzad Akbari, Javad Dogani:
CBS: A Deep Learning Approach for Encrypted Traffic Classification With Mixed Spatio-Temporal and Statistical Features. IEEE Access 11: 141674-141702 (2023) - [j4]Javad Dogani, Farshad Khunjush, Mehdi Seydali:
Host load prediction in cloud computing with Discrete Wavelet Transformation (DWT) and Bidirectional Gated Recurrent Unit (BiGRU) network. Comput. Commun. 198: 157-174 (2023) - [j3]Javad Dogani, Reza Namvar, Farshad Khunjush:
Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey. Comput. Commun. 209: 120-150 (2023) - [j2]Javad Dogani, Farshad Khunjush, Mohammad Reza Mahmoudi, Mehdi Seydali:
Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism. J. Supercomput. 79(3): 3437-3470 (2023) - 2022
- [j1]Javad Dogani, Farshad Khunjush, Mehdi Seydali:
K-AGRUED: A Container Autoscaling Technique for Cloud-based Web Applications in Kubernetes Using Attention-based GRU Encoder-Decoder. J. Grid Comput. 20(4): 40 (2022)
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