
Cluster Computing addresses the latest results in these fields that support High Performance Distributed Computing (HPDC). In HPDC environments, parallel and/or distributed computing techniques are applied to the solution of computationally intensive applications across networks of computers. The journal represents an important source of information for the growing number of researchers, developers and users of HPDC environments.
Cluster Computing: the Journal of Networks, Software Tools and Applications provides a forum for presenting the latest research and technology in the fields of parallel processing, distributed computing systems and computer networks.
- Presents the latest research and applications in parallel processing, distributed computing systems and computer networks
- Discusses distributed computing techniques as applied to the solution of computationally intensive applications across networks of computers
- An important source of information for the growing number of researchers, developers and users of HPDC environments
Journal information
- Editor-in-Chief
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- Salim Hariri
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us
Journal metrics
- 3.458 (2019)
- Impact factor
- 2.763 (2019)
- Five year impact factor
- 76 days
- Submission to first decision
- 278 days
- Submission to acceptance
- 264,108 (2020)
- Downloads
Latest issue

Volume 24
Special Issue: Blockchain for IoT; Special Issue: Advances in Intelligent Big Data Analytics for Cloud & Cluster Comp; Special Issue: AMGCC'19; Special Issue: AMGCC -2018; Special Issue: Big Data Analytics in Urban Computing Article
Latest articles
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Data replication schemes in cloud computing: a survey
Authors (first, second and last of 5)
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Improving latency in Internet-of-Things and cloud computing for real-time data transmission: a systematic literature review (SLR)
Authors (first, second and last of 6)
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Improving blocked matrix-matrix multiplication routine by utilizing AVX-512 instructions on intel knights landing and xeon scalable processors
Authors (first, second and last of 4)
Journal updates
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COVID-19 and impact on peer review
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
About this journal
- Electronic ISSN
- 1573-7543
- Print ISSN
- 1386-7857
- Abstracted and indexed in
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- ACM Digital Library
- CNKI
- Current Contents/Engineering, Computing and Technology
- DBLP
- Dimensions
- EBSCO Academic Search
- EBSCO Applied Science & Technology Source
- EBSCO Computer Science Index
- EBSCO Computers & Applied Sciences Complete
- EBSCO Discovery Service
- EBSCO STM Source
- EBSCO Science & Technology Collection
- EI Compendex
- Google Scholar
- INSPEC
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Journal Citation Reports/Science Edition
- Naver
- OCLC WorldCat Discovery Service
- ProQuest Advanced Technologies & Aerospace Database
- ProQuest Central
- ProQuest SciTech Premium Collection
- ProQuest Technology Collection
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- SCImago
- SCOPUS
- Science Citation Index Expanded (SciSearch)
- TD Net Discovery Service
- UGC-CARE List (India)
- WTI Frankfurt eG
- Copyright information
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© Springer Science+Business Media, LLC, part of Springer Nature