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活动简介

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. 

征稿信息

重要日期

2017-07-25
摘要截稿日期
2017-07-25
初稿截稿日期
2017-08-15
初稿录用日期

征稿范围

  • 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

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重要日期
  • 会议日期

    09月17日

    2017

    09月19日

    2017

  • 07月25日 2017

    摘要截稿日期

  • 07月25日 2017

    初稿截稿日期

  • 08月15日 2017

    初稿录用通知日期

  • 09月19日 2017

    注册截止日期

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