Cluster Computing

Aims & Scope

Cluster Computing: the Journal of Networks, Software Tools and Applications will provide a forum for presenting the latest research and technology that unify the fields of parallel processing, distributed computing systems and high performance computer networks.

The current advances in computing, networking technology and software have spurred a lot of research interest in cluster and internet computing, as demonstrated in Cloud and Grid computing, and distributed high performance data centers.

In the last few years, we have seen an increased interest in developing applications, software tools, communications protocols and high performance data centers, Grids and cloud computing sites to capitalize on these advances and initiatives.

Publications about these developments currently appear in several journals that either focus on the communications field, or on parallel and distributed computing with a strong emphasis on the parallel algorithms.

Cluster Computing Journal will uniquely address the latest results in integrating these three fields to support the development of high performance parallel distributed computing systems and their applications.

The journal will be an important source of information for the growing number of researchers, developers and users of High Performance Parallel and Distributed Computing environments.

In these environments, parallel and/or distributed computing techniques are applied to the solution of large-scale scientific and engineering applications running on clusters, cloud computing and/or distributed data centers.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.1

SJR (SCImago Journal Rank)

Year	Value
2024	1.040

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	80

Journal Rank

Year	Value
2024	4517

Journal Citation Indicator

Year	Value
2024	4935

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks

  Citation: 743

  Authors: Mainak, Sajal K., Damla

• A survey of deep learning-based network anomaly detection

  Citation: 493

  Authors: Donghwoon, Hyunjoo, Jinoh, Sang C., Ikkyun, Kuinam J.

• Power and performance management of virtualized computing environments via lookahead control

  Citation: 477

  Authors: Dara, Jeffrey O., James E., Nagarajan, Guofei

• Condor-G: A Computation Management Agent for Multi-Institutional Grids

  Citation: 446

  Authors: James, Todd, Miron, Ian, Steven

• Analysis of Blockchain technology: pros, cons and SWOT

  Citation: 340

  Authors: M., B. N., S.

• Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers

  Citation: 308

  Authors: H., K.

• Energy efficiency in cloud computing data centers: a survey on software technologies

  Citation: 293

  Authors: Avita, Susheela, Tanupriya

• GPS-free Positioning in Mobile Ad Hoc Networks

  Citation: 268

  Authors: Srdjan, Maher, Jean-Pierre

• A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments

  Citation: 260

  Authors: Laith, Ali

• Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues

  Citation: 221

  Authors: Anichur, Md. Sazzad, Ghulam, Dipanjali, Tanoy, Muaz, Md. Saikat Islam, Prayag, Shahab S.

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