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Vol. 12 (2025)
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Supercomputing Research Review High-Performance Distributed Computing Review
CiteScore 4.2
Primary Area HPC
Systems Distributed
Platforms Cloud
Scale Edge

Research on scalable computing infrastructure and distributed performance.

High-Performance Distributed Computing Review publishes scholarly work on high-performance computing, distributed systems, parallel computing, cloud platforms, edge systems, grid computing, resource scheduling, scalable architectures, and computational infrastructure.

Research Flow

From architecture to workload evaluation.

Stage 01

Architecture

Distributed platforms, parallel architectures, cloud-native systems, edge infrastructure, and scalable deployment models.

Stage 02

Scheduling

Resource allocation, workload management, orchestration, virtualization, containerization, and scheduling methods.

Stage 03

Performance

Benchmarking, performance modelling, scalability testing, energy efficiency, fault tolerance, and reliability analysis.

Stage 04

Deployment

Cloud, edge, grid, large-scale computational environments, big data processing, and real-world infrastructure studies.

Scope Map

Computing areas covered by the journal

High-Performance Computing
Distributed Systems
Parallel Computing
Cloud Platforms
Edge Computing
Grid Computing
Resource Scheduling
Performance Modelling
Big Data Processing
Fault Tolerance
Scalable Architecture
Energy-Efficient Computing

Technical Review Criteria

  1. Scalability, performance, and system relevance.
  2. Clarity of architecture, algorithm, workload, or deployment model.
  3. Benchmark validity, configuration details, and reproducibility.
  4. Ethical compliance, proper citation, and clear limitation reporting.

Submit to HPDCR

Manuscripts should clearly present the computing architecture, workload, benchmark, system configuration, scalability result, performance method, and contribution to distributed computing research.

Start Submission