International Journal of Distributed Systems and Technologies (IJDST) 13Hybrid Open Access

International Journal of Distributed Systems and Technologies (IJDST) 13

Nik Bessis (Edge Hill University, UK)
Copyright: © 2022 |Volume: 13
ISSN: 1947-3532|EISSN: 1947-3540|EISBN13: 9781683181828|DOI: 10.4018/IJDST.20220401
Cite Journal Cite Journal

MLA

Bessis, Nik. "International Journal of Distributed Systems and Technologies (IJDST)." (2022). Web. 24 May. 2024. doi:10.4018/IJDST.20220401

APA

Bessis, N. (2022). International Journal of Distributed Systems and Technologies (IJDST). doi:10.4018/IJDST.20220401

Chicago

Bessis, Nik. "International Journal of Distributed Systems and Technologies (IJDST)," (2022), accessed (May 24, 2024), doi:10.4018/IJDST.20220401

Export Reference

Mendeley
Favorite Full-Issue Download

The International Journal of Distributed Systems and Technologies (IJDST) focuses on integration techniques, methods, and tools employed in applied distributed computing systems, architectures, and technologies. IJDST pays particular attention to this dimension as a means of diversifying and broadening the applicability and scope of knowledge in the area of distributed systems and technologies. This journal is dedicated to push developmental boundaries and publish cutting-edge developments related to science-to-science, science-to-business, business-to-business, business-to-customer, and customer-to-customer interactions.Topics covered by IJDST include but are not limited to the heterogeneity and autonomy of Internet, Web, peer-to-peer, service oriented, grid, next generation grid, next generation technologies and other distributed systems paradigms and concepts; algorithms, software, application, services and technologies integration methods; process, resource, service and data virtualization, sharing, and integration; process, resource, service and resource flow management; scheduling; aspects of quality provision, policies; trust, identity management, forensics and security; application developments centered on the integration and management of various (e-) science-to-science, science-to-business, business-to-business, business-to-customer, and customer-to-customer models.

Table of Contents

Reset
Front Materials
AI and Edge Computing-Driven Technologies for KDN: Challenges and Applications
This content has been removed at the discretion of the publisher and the editors.
Articles

Related Journals