Distributed And Parallel Databases

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.

《Distributed And Parallel Databases》是一本由Springer US出版商出版的專業(yè)計算機科學期刊，該刊創(chuàng)刊于1993年，刊期Bimonthly，該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄。在中科院最新升級版分區(qū)表中，該刊分區(qū)信息為大類學科：計算機科學4區(qū)，小類學科：計算機：信息系統(tǒng) 4區(qū)；計算機：理論方法 4區(qū)；在JCR（Journal Citation Reports）分區(qū)等級為Q2。該刊發(fā)文范圍涵蓋COMPUTER SCIENCE, INFORMATION SYSTEMS等領(lǐng)域，旨在及時、準確、全面地報道國內(nèi)外COMPUTER SCIENCE, INFORMATION SYSTEMS工作者在該領(lǐng)域取得的最新研究成果、工作進展及學術(shù)動態(tài)、技術(shù)革新等，促進學術(shù)交流，鼓勵學術(shù)創(chuàng)新。2023年影響因子為1.5，平均審稿速度 12周，或約稿 。