Journal Information
Distributed and Parallel Databases
http://www.springer.com/computer/database+management+%26+information+retrieval/journal/10619
Impact Factor:
0.800
Publisher:
ELSEVIER
ISSN:
0926-8782
Viewed:
4121
Tracked:
5

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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 2017-02-12
Special Issues
Special Issue on Distributed OLTP in the Cloud
Submission Date: 2017-06-01

Distributed transaction processing is an old and deeply rooted field in the intersection of databases and distributed systems. Recent advances in cloud computing systems have reinvigorated the field. Distributed transactions are being reconsidered for an entirely changed landscape. This special journal issue focuses on conceptual, systems, and algorithmic aspects of large-scale, Massively Parallel Processing and/or geo-distributed transaction processing. Since a large body of work already addresses several facets of this problem, we are seeking contributions that push the start-of-the-art towards novel transaction processing paradigms, as well as those that provide a deep understanding and assessment of the status quo and real-world experiences. The main goal of the special issue is to provide a sanpshot of the state of the art and a useful point of reference for research in the area of distributed transaction processing. This special issue seeks articles describing significant research contributions in the domain of distributed OLTP. Areas of interest include, but not limited to, the following: - Concurrency control - Relaxing transaction consistency semantics - Cloud and/or on-premises geo-distributed OLTP - OLTP over geo-replicated stores - OLTP over graphs - Partitioning techniques - Exploitation of modern hardware to support transaction processing - Real-world transaction processing applications - New SQL systems
Last updated by Dou Sun in 2017-05-12
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