International Journal of Distributed Computing and Technology

The International Journal of Distributed Computing and Technology (IJDCT) is a peer-reviewed, hybrid open-access journal launched in 2015 that serves as a platform for the dissemination of original research, comprehensive reviews, and innovative developments in the fields of distributed systems, decentralized computing, cloud computing, grid computing, edge computing, and peer-to-peer (P2P) systems.

• Distributed Computing Systems: Distributed system design, architecture, and deployment, Decentralized computing models and architectures, Distributed database systems and consistency protocols, Distributed resource management and scheduling, Distributed software engineering and collaborative development, Parallel and distributed algorithms, Distributed operating systems and middleware platforms, Peer-to-peer (P2P) systems and distributed file sharing protocols, Load balancing in distributed environments.
• Cloud Computing and Virtualization: Cloud computing models: IaaS, PaaS, SaaS, Cloud resource allocation and dynamic scaling, Multi-cloud and hybrid cloud distributed architectures, Serverless computing in distributed cloud environments, Distributed storage systems and cloud storage technologies, Cloud-native distributed applications and container orchestration (Kubernetes, Docker Swarm).
• Edge Computing, Fog Computing, and IoT Integration: Edge computing for latency-sensitive distributed applications, Fog computing architecture and deployment, Edge-to-cloud continuum management, Distributed IoT platforms and sensor network architectures, Lightweight protocols for distributed IoT (CoAP, MQTT), Smart edge devices and decentralized edge AI.
• Blockchain, Distributed Ledger Technology (DLT), and Web3: Blockchain-based distributed systems and decentralized trust models, Consensus mechanisms: Proof of Work (PoW), Proof of Stake (PoS), Practical Byzantine Fault Tolerance (PBFT), Smart contracts in distributed environments, Web3 decentralized applications (dApps), Distributed identity management and decentralized authentication (DID), Tokenization, NFTs, and decentralized finance (DeFi) in distributed networks.
• Quantum Distributed Computing: Quantum communication in distributed networks, Quantum distributed algorithms and quantum internet, Quantum-enhanced distributed security and encryption, Post-quantum cryptography for distributed systems.
• Artificial Intelligence and Machine Learning in Distributed Systems: Federated learning frameworks for decentralized AI training, Distributed machine learning models and edge AI, Swarm intelligence and multi-agent distributed learning, Reinforcement learning in distributed control systems, Cognitive distributed computing systems.
• Advanced Distributed Network Technologies: Distributed network slicing for 5G/6G networks, Ultra-reliable low-latency communications (URLLC) for distributed systems, Software-defined networking (SDN) in distributed architectures, Network function virtualization (NFV) in distributed cloud environments, Satellite-enabled distributed communication networks.
• Security, Privacy, and Trust in Distributed Systems: Secure multi-party computation (SMPC), Privacy-preserving distributed algorithms, Blockchain-based security protocols, Zero-knowledge proofs (ZKPs) for distributed authentication, Distributed intrusion detection systems (IDS), Trust models in decentralized networks.
• Performance, Scalability, and Fault Tolerance: Performance optimization in large-scale distributed systems, Scalable distributed architectures and elastic distributed computing, Fault tolerance and self-healing distributed networks, distributed caching, content delivery networks (CDNs), and replication strategies, Resource optimization and energy-efficient distributed computing.
• Emerging Topics and Applications: Volunteer computing (e.g., BOINC, Folding@Home), Distributed gaming platforms and virtual reality (VR) environments, Distributed healthcare systems and telemedicine networks, Distributed smart cities infrastructure, Decentralized autonomous organizations (DAOs), Energy-aware distributed systems for green computing.

Keywords:

• Distributed Computing
• Decentralized Systems
• Cloud Computing
• Edge Computing
• Peer-to-Peer Networks
• Blockchain Technology
• Distributed Ledger Technology
• Federated Learning
• Swarm Intelligence
• Quantum Distributed Computing
• IoT Integration, Distributed AI
• Distributed Storage Systems
• Network Slicing
• Secure Multi-party Computation