雜志介紹

Distributed And Parallel Databases雜志介紹

《Distributed And Parallel Databases》是一本以English為主的未開放獲取國際優秀期刊，中文名稱分布式和并行數據庫，本刊主要出版、報道計算機科學-COMPUTER SCIENCE, INFORMATION SYSTEMS領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為1.5，最新CiteScore 指數為3.5。

本刊近期中國學者發表的論文主要有：

• Logless one-phase commit made possible for highly-available datastores

  Author: Yuqing Zhu, Philip S. Yu, Guolei Yi, Mengying Guo, Wenlong Ma, Jianxun Liu, Yungang Bao

• IHP: improving the utility in differential private histogram publication

  Author: Hui Li, Jiangtao Cui, Xue Meng, Jianfeng Ma

• SMashQ: spatial mashup framework for <Emphasis Type="Italic">k</Emphasis>-NN queries in time-dependent road networks

  Author: Detian Zhang, Chi-Yin Chow, Qing Li, Xinming Zhang, Yinlong Xu

• Efficient route search on hierarchical dynamic road networks

  Author: Jiajie Xu, Yunjun Gao, Chengfei Liu, Lei Zhao, Zhiming Ding

英文介紹

Distributed And Parallel Databases雜志英文介紹

Distributed and Parallel Databases publishes papers in all the traditional as well as most emerging areas of database research, including:

Availability and reliability;

Benchmarking and performance evaluation, and tuning;

Big Data Storage and Processing;

Cloud Computing and Database-as-a-Service;

Crowdsourcing;

Data curation, annotation and provenance;

Data integration, metadata Management, and interoperability;

Data models, semantics, query languages;

Data mining and knowledge discovery;

Data privacy, security, trust;

Data provenance, workflows, Scientific Data Management;

Data visualization and interactive data exploration;

Data warehousing, OLAP, Analytics;

Graph data management, RDF, social networks;

Information Extraction and Data Cleaning;

Middleware and Workflow Management;

Modern Hardware and In-Memory Database Systems;

Query Processing and Optimization;

Semantic Web and open data;

Social Networks;

Storage, indexing, and physical database design;

Streams, sensor networks, and complex event processing;

Strings, Texts, and Keyword Search;

Spatial, temporal, and spatio-temporal databases;

Transaction processing;

Uncertain, probabilistic, and approximate databases.