Journal Information
Distributed and Parallel Databases
Impact Factor:

Call For Papers
Distributed and parallel database technology has been the subject of intense research and development effort. Numerous practical application and commercial products that exploit this technology also exist. Since the mid-1990s, web-based information management has used distributed and/or parallel data management to replace their centralized cousins. The maturation of the field, together with the new issues that are raised by the changes in the underlying technology, requires a central focus for work in the area. Distributed and Parallel Databases provides such a focus for the presentation and dissemination of new research results, systems development efforts, and user experiences in distributed and parallel database systems.

Distributed and Parallel Databases publishes papers in all the traditional as well as most emerging areas of database research, including: Data Integration, Data Sharing, Security and Privacy, Transaction Management, Process and Workflow Management, Information Extraction, Query Processing and Optimization, the Analysis, Mining and Visualization of large data sets, Storage, Data Fragmentation, Placement and Allocation, Replication Protocols, Reliability, Fault Tolerance, Persistence, Preservations, Performance and Scalability, and Use of various communication and dissemination platforms and middleware.

Example sets of issues in the context of distributed and parallel systems include:

    Mobile, Service, P2P, grid and cloud computing for managing data and processes

    Managing Heterogeneity and Autonomy in Distributed Systems

    Semantic interoperability and integration (matching, mapping)

    Linked Data, Open Data, Mobile Data, Streaming Data, Sensor Data, Multimedia and Multimodal Data

    Metadata, Knowledge Bases, Ontologies

    Web scale data management

    Relational, Object-Oriented, XML, Graph, RDF, Event data management

    Supporting Group/Collaborative Work

    Support for Non-Traditional Applications (e.g., Soft Computing applied to Data Processing, Translational medicine exploiting a variety of data)

    Alternative Software and Hardware Architectures Related to Data Management

    The Use of Distributed and Parallel Database Technology in Managing Biological, Geographic, Spatial, Temporal, Scientific and Statistical Data

    System Support and Interface Issues for Data Management
Last updated by Dou Sun in 2017-10-29
Special Issues
Special Issue on Big Data and Intelligent Computing
Submission Date: 2017-12-31

Big data and intelligent computing are emerging and exciting research fields that have recently drawn much attention from computer science and Distributed Databases as well as from social sciences and other disciplines. Big data and Intelligent computing also attract increasing attention from researchers to study rich data-related and data-driven problems. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. The Distributed and Parallel Databases Journal invites submissions for a special issue on “Big Data and Intelligent Computing” that aims to attract papers that cover the state-of-the-art research in relation to big data. Paper Submission: Dec 31, 2017 First Round of Reviews: Feb 28, 2018 Submission of Revision: Apr 30, 2018 Decision of Acceptance: May 31, 2018 Publication Date: Autumn 2018 Topics include, but are not limited to, the following. - Parallel and distributed database systems - Data management for social-network and location-based services - Streaming data and real-time processing - Models and tools for smart computing - Indexing, query processing, and optimization - Machine learning and AI for big data - Web search and information retrieval - Tools and systems for big data - Data mining, graph mining and data science - Infrastructure and platform for Intelligent computing - Cloud and grid computing for big data - Smart devices and hardware
Last updated by Dou Sun in 2017-10-29
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