- 《Distributed and Parallel Databases》
- 其它刊名：DISTRIB PARALLEL DATAB;DISTRIB PARALLEL DAT
- 语言：外文
- ISSN：0926-8782
- 核心刊：;Scopus;Ei Compendex(2018);SCIE(科学引文索引)(美)(2020);
- 收录情况：Academic OneFile, Computer Science Index, Current Abstracts, Current Contents/En
- 周期：季刊
- 影响因子：2018:1.147;2017:0.925;2016:1.179;2015:0.8;2014:1.156;2013:1;2012:0.806;2011:0.286;2010:0.71;2009:0.857;2008:0.875;2007:0.771;
- 学科分类：建筑
- 简介：Distributed and parallel database technology has been the subject of intense research and developmen...
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- 简介：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
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- 来源数据库：
- SpringerLink电子期刊及电子图书 (1997－，部分从创刊/首卷开始 多出版类)
- 国家科技图书文献中心文献检索
- Kluwer电子期刊 (1997－)
- Ingenta Connect
- Computing Reviews
- Springer Online Archive Collections(OAC)--Springer回溯数据库
- Ovid检索平台
