Please note this journal’s peer review system has changed, it now uses Snapp (Springer Nature’s Article Processing Platform). See the journal updates page for more information.

The Journal of Grid Computing explores an emerging technology that enables large-scale resource sharing problem solving within distributed, loosely coordinated groups sometimes termed "virtual organizations". Coverage includes protocols, security, scaling and more.

Although the advantages of this technology for classes of applications have been acknowledged, research in a variety of disciplines is needed to broaden the applicability and scope of the current body of knowledge. This journal fills the need, covering such topics as protocols, middleware, and services, security, discovery, sharing, scaling, and more.

Discussion extends to advanced technologies for collaborative work, information sharing and problem solving.

  • Explores emerging technology that enables large-scale resource sharing problem solving within loosely coordinated groups sometimes termed "virtual organizations"
  • Coverage includes protocols, security, scaling and more
  • Discusses advanced technologies for collaborative work, information sharing and problem solving

Journal information

Co-Editor-in-Chief
  • Peter Kacsuk,
  • Tamas Kiss
Publishing model
Hybrid (Transformative Journal). How to publish with us, including Open Access

Journal metrics

4.674 (2021)
Impact factor
4.038 (2021)
Five year impact factor
35 days
Submission to first decision (Median)
27,325 (2021)
Downloads

Latest articles

This journal has 53 open access articles

Journal updates

  • SNAPP – A New Manuscript Submission system

    Snapp (Springer Nature’s Article Processing Platform) is our new peer review platform, replacing the previous system, Editorial Manager.

    SNAPP logo
  • Reservoir Computing: Trends and Future Prospects

    Deep learning and machine learning techniques are at the forefront of Artificial Intelligent (AI) in various fields. One of the important computing methods used to overcome the training difficulty in deep learning and machine learning techniques is Reservoir Computing (RC).

    Guest Editors: Dr. Ahmed A. Abd El-Latif (Lead Guest Editor); Dr. Edmond Shu-lim Ho; Dr. Jialiang Peng

    Submission Deadline: April 15th 2022

    Download full details hereReservoir Computing: Trends and Future Prospects

  • Read and Publish (Springer Compact) Agreements

    If your institution has a Read and Publish (Springer Compact) agreement, you may publish your article open access - at no cost to you - in more than 1,850 Springer hybrid journals, including the Journal of Grid Computing. In addition, you can enjoy full access to all Springer subscription journal content...

View all updates

About this journal

Electronic ISSN
1572-9184
Print ISSN
1570-7873
Abstracted and indexed in
  1. ACM Digital Library
  2. ANVUR
  3. BFI List
  4. Baidu
  5. CLOCKSS
  6. CNKI
  7. CNPIEC
  8. Current Contents/Engineering, Computing and Technology
  9. DBLP
  10. Dimensions
  11. EBSCO Discovery Service
  12. EI Compendex
  13. Google Scholar
  14. INSPEC
  15. INSPIRE
  16. Japanese Science and Technology Agency (JST)
  17. Journal Citation Reports/Science Edition
  18. Naver
  19. Norwegian Register for Scientific Journals and Series
  20. OCLC WorldCat Discovery Service
  21. Portico
  22. ProQuest Advanced Technologies & Aerospace Database
  23. ProQuest-ExLibris Primo
  24. ProQuest-ExLibris Summon
  25. SCImago
  26. SCOPUS
  27. Science Citation Index Expanded (SCIE)
  28. TD Net Discovery Service
  29. UGC-CARE List (India)
  30. WTI AG
  31. Wanfang
Copyright information

Rights and permissions

Springer policies

© Springer Nature B.V.