Focus and Scope

High-Performance Distributed Computing Review publishes scholarly research in high-performance computing, distributed systems, parallel computing, cloud computing, edge computing, grid computing, scalable architectures, cluster systems, resource management, performance optimization, big data processing, distributed algorithms, virtualization, containerized systems, and computational infrastructure.

The journal aims to support research that improves the performance, scalability, reliability, efficiency, programmability, and practical deployment of distributed and high-performance computing systems.

Areas Covered by the Journal

• High-performance computing systems
• Distributed computing architectures and platforms
• Parallel computing and parallel algorithms
• Cloud computing, edge computing, and fog computing
• Grid computing and cluster computing
• Resource allocation, scheduling, and workload management
• Scalability, performance modelling, and optimization
• Distributed algorithms and coordination methods
• Big data processing and distributed data analytics
• Virtualization, containerization, and orchestration systems
• Fault tolerance, reliability, and resilience in distributed systems
• Storage systems, distributed databases, and data-intensive computing
• High-performance networking and communication protocols
• Security and privacy in distributed computing environments
• Scientific computing, simulation, and computational infrastructure

Types of Contributions

The journal accepts original research articles, review articles, technical studies, case studies, simulation-based studies, experimental investigations, system design papers, performance evaluation studies, and application-oriented research in high-performance and distributed computing.

Intended Audience

The journal is intended for researchers, computer scientists, system engineers, cloud architects, software developers, academicians, postgraduate students, data engineers, infrastructure specialists, and professionals working in high-performance, distributed, parallel, and cloud computing systems.