Algorithmic, experimental, prototyping and implementation; Big Data Algorithms, Applications and Services; Big Data Mining and Analytics; Big Data Processing and Querying; Cloud and Big Data for Internet of Things (IoT); Computing, scheduling and resource management for sustainability; Government and Industrial Experiences for Cloud and Big Data; Green Computing and Networking Technologies for Cloud and Big Data; Green data centers / environmental-friendly perspectivesGreen data centers / environmental-friendly perspectives; Software Engineering for Cloud Computing and Big Data; Software, hardware and algorithm co-design, high-performance computing; Software and tools for big data management; Cloud Computing Solutions and Platforms; Privacy and Security for Cloud and Big Data; Big Data Visualization; Big Data Education; Data quality issues: such as validation, metrics, optimizations and consistency; Data-driven innovation, computational modelling and data integration; Data intensive computing theorems and technologies; Virtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS.