International Conference on Big Data Science and Engineering ICBDSE on June 01-02, 2026 in New York, United States

Big Data theory, applications and challenges
Recent development in Big Data and MapReduce
Big Data mining and analytics
Big Data Infrastructure and Cloud Computing
Big Data visualization
Large data stream processing on cloud
Large incremental datasets on cloud
Distributed and federated datasets
NoSQL data stores and DB scalability
Big Data sharing and privacy preserving
Security, trust and risk in Big Data
Big Data placement, scheduling, and optimization
Extension of the MapReduce programming model
Distributed file systems for Big Data
MapReduce for Big Data processing, resource scheduling and SLA
MapReduce on heterogeneous distributed environments
Performance characterization, evaluation and optimization
Simulation and debugging of MapReduce and Big Data systems and tools
Volume, Velocity, Variety, Value and Veracity of Big Data
Multiple source data processing and integration with MapReduce
Storage and computation management of Big Data
Large-scale scientific workflow in support of Big Data processing
Algorithms and theory for distributed systems
Data management and distributed data systems
Security, privacy, fault tolerance and reliability in distributed systems
Distributed ad hoc, ubiquitous and pervasive systems
Mobile systems and development for handheld devices such as mobile phones