Javad Dogani

According to our database, Javad Dogani authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Privacy-preserving Chunk Scheduling in a BitTorrent Implementation of Federated Learning.

Naicheng Li, Javad Dogani, Rui Wang, Kaitai Liang, Nikolaos Laoutaris

CoRR, May, 2026

SemanticDFL: Similarity-Aware Pull-based Personalized Decentralized Federated Learning.

Javad Dogani, Mostafa Khastkhodaei, Farshad Khunjush, Nikolaos Laoutaris

Proceedings of the Abstracts of the 2026 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2026

2025

A Hybrid PSO-GA Optimization Method for Relay Node Placement and Connection Point Detection in IoT Applications.

Hassan Daryanavard, Javad Dogani

Trans. Emerg. Telecommun. Technol., 2025

A hybrid priority-aware genetic algorithm and opposition-based learning for scheduling IoT tasks in green fog computing.

Rezvan Salimi, Sadoon Azizi, Javad Dogani

Comput. Networks, 2025

Reducing Street Parking Search Time via Smart Assignment Strategies.

Behafarid Hemmatpour, Javad Dogani, Nikolaos Laoutaris

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

2024

Streaming traffic classification: a hybrid deep learning and big data approach.

Mehdi Seydali, Farshad Khunjush, Javad Dogani

Clust. Comput., July, 2024

A two-tier multi-objective service placement in container-based fog-cloud computing platforms.

Javad Dogani, Ali Yazdanpanah, Arash Zare, Farshad Khunjush

Clust. Comput., July, 2024

Proactive auto-scaling technique for web applications in container-based edge computing using federated learning model.

Javad Dogani, Farshad Khunjush

J. Parallel Distributed Comput., May, 2024

DCSP: A delay and cost-aware service placement and load distribution algorithm for IoT-based fog networks.

Sadoon Azizi, Mohammad Shojafar, Pedram Farzin, Javad Dogani

Comput. Commun., 2024

2023

Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey.

Javad Dogani, Reza Namvar, Farshad Khunjush

Comput. Commun., September, 2023

Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism.

Javad Dogani, Farshad Khunjush, Mohammad Reza Mahmoudi, Mehdi Seydali

J. Supercomput., 2023

Host load prediction in cloud computing with Discrete Wavelet Transformation (DWT) and Bidirectional Gated Recurrent Unit (BiGRU) network.

Javad Dogani, Farshad Khunjush, Mehdi Seydali

Comput. Commun., 2023

CBS: A Deep Learning Approach for Encrypted Traffic Classification With Mixed Spatio-Temporal and Statistical Features.

Mehdi Seydali, Farshad Khunjush, Behzad Akbari, Javad Dogani

IEEE Access, 2023

2022

K-AGRUED: A Container Autoscaling Technique for Cloud-based Web Applications in Kubernetes Using Attention-based GRU Encoder-Decoder.

Javad Dogani, Farshad Khunjush, Mehdi Seydali

J. Grid Comput., 2022