ICBDSE 2027: International Conference on Big Data Science and Engineering

ICBDSE 2027: International Conference on Big Data Science and Engineering addresses advances in big data science and engineering, including large-scale data analytics, distributed computing systems, cloud infrastructures, and data management technologies.

Key Topics

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