Distributed and Parallel Databases

期刊简介：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.

【译文】分布式和并行数据库期刊发表关于数据库研究的所有传统领域以及大多数新兴领域的论文，包括：可用性和可靠性；基准测试和性能评估及调优；大数据存储和处理；云计算和数据库即服务；众包；数据整理、注释和来源；数据集成、元数据管理和互操作性；数据模型、语义和查询语言；数据挖掘和知识发现；数据隐私、安全性和信任；数据来源、工作流程和科学数据管理；数据可视化和交互式数据探索；数据仓库、OLAP和数据分析；图数据管理、RDF和社交网络；信息提取和数据清理；中间件和工作流程管理；现代硬件和内存数据库系统；查询处理和优化；语义网和开放数据；社交网络；存储、索引和物理数据库设计；流、传感器网络和复杂事件处理；字符串、文本和关键词搜索；空间、时间和时空数据库；事务处理；不确定、概率和近似数据库。