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.