Important Dates

January 30, 2017

Workshop/Special Session Proposal Due


March 24, 2017 (Firm)

Paper Submission Deadline


April 25, 2017

WiP Paper Submission Due


April 25, 2017

Poster/Demo Submission Due


May 10, 2017

Authors Notification


June 10, 2017

Camera-ready & Registration




Sponsors

Introduction

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 overall architecture consists of three layers: data storage, data processing and data analysis. Data storage layer stores complex type and mass data, data processing layer realizes real-time processing of massive data, and only through data analysis layer, smart, in-depth and valuable information are got. When talking about big data, one thinks first to the 4V characteristics of big data, namely Volumes, Variety, Velocity, and Veracity. Big data processing key technology generally includes: data acquisition, data pre-processing, data storage and data management, data analysis and mining, big show and application (big data retrieval, data visualization, big data applications, data security, etc.).

The IEEE International Conference on Cloud and Big Data Computing is a premier forum for researchers, practitioners, developers and users who are interested in cloud computing and big data to explore new ideas, techniques and tools, as well as to exchange experience. Besides the latest research achievements. This conference also covers innovative commercial data management systems, innovative commercial applications of cloud computing and big data technology, and experience in applying recent research advances to real-world problems. After the success of IEEE CBDCom 2015 in Beijing, China, and CBDCom 2016 in Toulouse, France, CBDCom 2017 will be the third edition of the lnternational Conference.

Topics

  • Big data algorithms, applications and services
  • Big data mining and analytics
  • Big data processing and querying
  • Cloud and big data for the Internet of Things (IoT)
  • Government and industrial experiences for cloud and big data
  • Green computing and networking technologies for cloud and big data
  • Software engineering for cloud computing and big data
  • Cloud computing solutions and platforms
  • Privacy and security for cloud and big data
  • Big data visualization
  • Big data education
  • Virtualization technologies, cloud data management and storage, cloud resource management and QoS

Co-located Six Conferences

  • The 3rd 2017 IEEE Smart World Congress (SmartWorld 2017)
  • The 14th IEEE Int'l Conf. on Ubiquitous Intelligence and Computing (UIC 2017)
  • The 17th IEEE Int'l Conf. on Scalable Computing and Communications (ScalCom 2017)
  • The 14th IEEE Int'l Conf. on Advanced and Trusted Computing (ATC 2017)
  • The 3rd IEEE Int'l Conf. on Internet of People (IoP 2017)
  • The 2017 IEEE Int'l Conf. on Smart City Innovations (SCI 2017)

Organizers:

  


Contact: cbdcom2017@googlegroups.com
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