Contributions and Audience
Contributions and Audience
High-Performance Distributed Computing Review welcomes scholarly contributions that advance knowledge and practice in high-performance computing, distributed systems, parallel computing, cloud computing, edge computing, grid computing, resource management, scalable architectures, big data processing, and computational infrastructure.
Types of Contributions
- Original research articles
- Review articles
- Technical studies
- Case studies
- Simulation-based studies
- Experimental investigations
- Performance evaluation and benchmark studies
- System architecture and framework papers
- Application-oriented distributed computing research
Expected Contribution
Submissions should present a clear research problem, appropriate methodology, accurate results, and meaningful technical or applied contribution. The journal encourages work that supports improved computing performance, scalability, reliability, resource efficiency, workload management, system resilience, and practical deployment of high-performance distributed systems.
Intended Audience
The journal is intended for researchers, academicians, computer scientists, system engineers, cloud architects, software developers, data engineers, postgraduate students, infrastructure specialists, and professionals working with large-scale computing systems.