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International Journal of Distributed Systems and Technologies (IJDST)

International Journal of Distributed Systems and Technologies (IJDST)
Editor(s)-in-Chief: Nik Bessis (Edge Hill University, UK)
Published: Quarterly
Copyright: ©2010
DOI: 10.4018/IJDST
ISSN: 1947-3532
EISSN: 1947-3540

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Description

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.



Contents

Volume 11, Issue 3
Volume 11, Issue 2
Volume 11, Issue 1
Volume 10, Issue 4
Volume 10, Issue 3
Volume 10, Issue 2
Volume 10, Issue 1
Volume 9, Issue 4
Volume 9, Issue 3
Volume 9, Issue 2
Volume 9, Issue 1
Volume 8, Issue 4
Volume 8, Issue 3
Volume 8, Issue 2
Volume 8, Issue 1
Volume 7, Issue 4
Volume 7, Issue 3
Volume 7, Issue 2
Volume 7, Issue 1
Volume 6, Issue 4
Volume 6, Issue 3
Volume 6, Issue 2
Volume 6, Issue 1
Volume 5, Issue 4
Volume 5, Issue 3
Volume 5, Issue 2
Volume 5, Issue 1
Volume 4, Issue 4
Volume 4, Issue 3
Volume 4, Issue 2
Volume 4, Issue 1
Volume 3, Issue 4
Volume 3, Issue 3
Volume 3, Issue 2
Volume 3, Issue 1
Volume 2, Issue 4
Volume 2, Issue 3
Volume 2, Issue 2
Volume 2, Issue 1
Volume 1, Issue 4
Volume 1, Issue 3
Volume 1, Issue 2
Volume 1, Issue 1
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Mission

The mission of the International Journal of Distributed Systems and Technologies (IJDST) is to be a timely publication of original and scholarly research contributions, publishing papers in all aspects of the traditional and emerging areas of applied distributed systems and integration research (including data, agent, and mining technologies) such as next generation technologies, next generation grid, and distributed and throughput computing concepts, as well as related theories, applications, and integrations at various levels. Targeting researchers, practitioners, students, academicians, and industry professionals, IJDST provides an international forum for the dissemination of state-of-the-art theories, practices, and empirical research in distributed systems and prompts future community development as a means of promoting and sustaining a network of excellence.



Coverage

  • Distributed concepts, systems, applications, technologies, and advanced paradigms for early warning systems, evacuation processes, climate changes, disaster management, and threat detection including geographical information systems and health informatics
  • Distributed strategies and practices for e-society, global economies, developing countries, and education
  • Distributed systems, system architecture and design, technologies and applications, and their integration methods and tools for performance analysis, verification, testing, and benchmarking and their empirical results
  • Distributed technologies for science or business process, models, and application integration and management such as in operational research, economic models, and supply chain
  • Distributed technology applications and system integration solutions in diverse collaborative environments including but not limited to science, engineering, management, and business
  • Forensics, security, cryptography, threat detection, business continuity, trust, identity management, policies, and quality of service management
  • Innovative developments in distributed computer, operating systems, databases, middleware, networking, and application architecture including design and analysis of distributed algorithms, programming languages, compilers, software tools and middleware environments, autonomy services, IoT, smart environments, cloud computing, service oriented, grid, peer-to-peer, throughput and cluster programming interfaces, scheduling and fault-tolerance service and algorithms, and synchronization and concurrency theory and programming
  • Matching, mapping, and other novel techniques for the integration, management, and interoperability of distributed data, systems, technologies, services, architectures, applications, and legacy systems
  • Novel algorithms, uses, and implications of distributed concepts, models, architectures, technologies, and practices for example in Internet, wireless communications, mobile, ad-hoc networks, and sensors
  • Representation techniques like semantics, meta-data, tagging, clouds, ontologies, and knowledge bases in distributed environments
  • Theories and applications of distributed computing such as algorithms and services, and their implementation in Internet, pervasive and utility computing, IoT, smart environments, cloud computing, peer-to-peer, grid, next generation grid, and next generation technologies
  • Theories, applications, and technologies such as click stream, data mining, databases, data warehouses, web houses, web data centers and sites, mashups, intra-/inter-tagging, IoT, smart environments, cloud computing for managing and integrating linked, streaming, media rich, multimedia, spatial, temporal data, services, and resources
  • Theory and use of distributed technologies for collaborative work, resource sharing, and problem solving
  • Theory of distributed systems and technologies such as parallel or integration algorithms
  • User and community led systems and application development, software engineering modeling, architecture, description, deployment, packaging, interfaces, and distribution
  • Other implications, including scientific or business models, and human and/or market dynamics influencing decisions and transitions within small and large virtual communities or organizations
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Journal Indices

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