Topics of interest include, but are not limited to:

* Systems, models, standards, algorithms and applications for Big Data
* Big Data mining and analytics
* Big Data Infrastructure, MapReduce and Cloud Computing
* Big Data visualization
* Big Data semantics, scientific discovery and intelligence
* Security, privacy, trust, and legal issues to big data
* Large data stream processing and incremental datasets on cloud
* Distributed and federated datasets
* NoSQL data stores and DB scalability
* Big Data placement, scheduling, and optimization
* Distributed file systems for Big Data
* MapReduce for Big Data processing, resource scheduling and SLA
* Performance characterization, evaluation and optimization
* Simulation and debugging systems and tools for Big Data
* Storage and computation management of Big Data
* Large-scale big data workflow management
* Sensor network and social network for Big Data
* Edge processing and intelligence for Big Data