Cluster Computing - Springer Nature - Impact Factor

About: Cluster Computing journal focuses on advancements in cluster and distributed computing systems. It provides a platform for researchers, practitioners, and professionals to publish original research articles, reviews, and case studies that contribute to the understanding and development of cluster computing technologies and their applications.
Publication Frequency: The journal publishes regularly to provide timely dissemination of research findings and advancements in cluster computing.
Peer Review: All submissions undergo rigorous peer review by experts in the field to maintain high academic standards and ensure the validity and significance of published research.
Impact: Cluster Computing aims to advance the field by promoting innovative research that enhances the understanding and application of cluster computing technologies, addressing challenges and exploring new opportunities in distributed computing systems.

Scope: The journal covers a wide range of topics within the domain of cluster computing, including:
Cluster Architecture: Design, architecture, and configuration of cluster computing systems.
Distributed Systems: Algorithms, protocols, and middleware for distributed computing environments.
Parallel Computing: Techniques and methodologies for parallel processing and execution on cluster systems.
Cloud Computing: Integration of cluster computing with cloud platforms, virtualization, and resource management.
High-Performance Computing: Performance optimization, benchmarking, and scalability issues in cluster computing.
Big Data Analytics: Applications of cluster computing in handling and processing large-scale datasets.
Fault Tolerance and Reliability: Methods and strategies for ensuring reliability and fault tolerance in cluster computing environments.
Security and Privacy: Issues and solutions related to security, privacy, and data protection in cluster computing.