Cloud is a virtual computing resource, which realizes self-maintenance and management, usually in the form of some large server cluster, including computing servers, storage servers, bandwidth resources, etc. Cloud computing is the fusion and development of grid computing, distributed computing, parallel computing, utility computing, network storage technologies, virtualization, load balancing and other traditional computer technologies and network technology. Virtualization, dynamicity and scalability, the distributed mass data storage and management, as well as flexible service, are the main technologies of cloud computing. There are still many challenges in cloud systems and platform, cloud computing, database, virtualization, reuse and elasticity problems.
Big data is a rapidly expanding research area spanning the fields of computer science and information management, and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and telecommunications.
The goal of the 2017 International Conference on Cloud and Big Data Computing (ICCBDC 2017) is to establish an international forum for engineers and scientists to present their ideas and experiences in the fields of Cloud and Big Data Computing.
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
09月17日
2017
09月19日
2017
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